<p><strong>Senior Embedded Software Engineer</strong></p><p><strong>Plano, Texas</strong></p><h3><strong>About Caban</strong></h3><p>Caban Systems, a leader in the design and manufacture of software-enabled energy storage and management systems for the telecommunications industry, delivers modern infrastructure solutions to its customers, while substantially reducing operational expenses and increasing uptime.</p><p>We deploy end-to-end turnkey solutions with a three-part system solution, including lithium-ion energy storage systems, cloud-based remote monitoring software, and Energy-as-a-Service (EaaS) offering for mobile sites, fixed networks and fiber nodes. Our energy management system is designed to supply primary and backup power for reliable connectivity, increased transparency and a significant reduction in emissions.</p><p>We are looking for a talented senior embedded software engineer to help us commercialize our energy storage and data platforms. We are scaling energy storage solutions and cloud-based data services for our telecommunications customers.  We have several positions open in our Texas facility. </p><h3><strong>Responsibilities</strong></h3><ul><li>Work on energy storage systems for use in the telecommunications market<br></li><li>Engineer energy storage products including algorithms, architecture, firmware implementation and validation<br><br></li><li>Enhance and debug new and existing real-time software in C and C++ in RTOS environments for for 32-bit ARM® Cortex® processors<br><br></li><li>Create and implement product requirements to enhance product performance<br><br></li><li>Take ownership of the battery management system (BMS) software<br><br></li><li>Work closely with hardware engineers to optimize performance<br><br></li></ul><ul><li>Provide system-system interface using various protocols: ModBus, CAN and RS-232<br><br></li><li>Work closely with gateway/edge team to implement OTA update strategy<br><br></li><li>Use of JIRA and bitbucket to track issues and develop collaboratively<br><br></li><li>Standardize, automate, and document development and production environments</li></ul><p><br><strong>Requirements</strong></p><ul><li>Bachelor of Science in Electrical Engineering, Computer Science or related field<br><br></li><li>5+ years of embedded software development experience<br><br></li><li>Possess expert software fundamentals including architectural design, algorithm development, data structures, code modularity, and maintainability<br><br></li><li>Strong C/C++ experience for microcontrollers<br><br></li><li>Experience with Python, Cython, GCC, Make and shell scripting<br><br></li><li>Multi-threaded processing, multi-processor communication &amp; synchronization, task scheduling<br><br></li><li>Knowledge of interface protocols: I2C, SPI, CAN, Modbus, etc.<br><br></li><li>Experience working with ARM® Cortex® processors (even better STM32)<br><br></li><li>Experience with battery systems and/or solar controllers<br><br></li><li>Experience developing and releasing firmware for safety-critical applications<br><br></li><li>Thorough understanding of CI/CD pipelines, unit testing, and automated testing<br><br></li><li>Ability to debug complex system level issues and drive solutions spanning multiple hardware and software subsystems<br><br></li><li>Ability to collaborate and communicate complex technical concepts<br><br></li><li>Above average knowledge of sensors, ADCs, DACs and ability to review electrical (PCB) schematics<br><br></li><li>Experience with lithium-ion battery technologies and power systems (BMS, State-of-Charge, DC and AC charging products) is a bonus.<br><br></li></ul><p>All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status.</p><p></p><p></p>

Revolutionizing telecom power with custom lithium ion batteries and software-driven energy storage systems, Caban Systems is growing exponentially.

Senior Embedded Software Engineer

<h2><strong>The Company You’ll Join</strong></h2><p>Amperon is the leading analytics and forecasting company for the energy transition. Our platform leverages advanced algorithms and machine learning techniques to accurately forecast energy demand on both the supply (power &amp; utilities companies) and demand (large energy users) sides of the market. We incorporate real-time data feeds that help our clients reduce cost, monitor energy efficiency while increasing substantially. </p><p>We bring the brightest mind from energy, security and technology in order to combat climate changes and transition to clean energy solutions. We have offices in Texas but are a remote first company.</p><h2><strong>Our Strategy</strong></h2><p>Amperon operates at the intersection of energy data, AI, and domain expertise to empower the world to navigate the energy transition more effectively. Using best-in-class data ingestion and management infrastructure, coherent AI/ML models, and leading-edge predictive analytics, Amperon provides tools that generate economic and societal value. </p><p>Amperon seeks to modernize the grid data and AI software stack to improve reliability, optimize asset economics, and accelerate decarbonization for grid operators, asset owners, and end-users. We're building the next generation of market-leading energy analytics and forecasting products, and we want you to be part of our journey!</p><h2><strong>The team you’ll work with</strong></h2><p>We use machine learning and data analytics to analyze large volumes of data, uncover patterns, and make predictions that can be invaluable in the energy sector. Our team manages deep and valuable data around energy supply and demand that can lead to more efficient and sustainable energy systems. We are a small growing team with the opportunity to build high velocity machine learning from scratch.</p><h2><strong>The Impact</strong></h2><p>We have direct impact to help optimize energy distribution, predict demand fluctuations, and identify energy-saving opportunities. We build analytical tools that can process vast amounts of data collected from various sources within the energy grid. We work with cross functional teams around new product development including international expansions.<strong><br></strong></p><h2><strong>The problems you’ll solve </strong></h2><ul><li>Implement data validation and cleaning processes to identify and rectify errors or inconsistencies in the incoming data.</li><li>Build advanced time series forecasting models at scale.</li><li>Create relevant features that can improve forecasting accuracy, such as lag features, rolling statistics, and domain-specific variables.</li><li>Continuously monitor the training process and evaluate model performance on the validation set.</li><li>Deploying well-performing models into a production environment.</li><li>Analyzing historical data and real-time information to determine changes in energy consumption.</li></ul><h2><strong>You may be a fit for this role if</strong></h2><p>You have senior expertise with building machine learning algorithms. You have extensive experience with data collection and data processing. Experience with techniques like data cleaning, normalization, and feature engineering to prepare the data for modeling. Experience with time series analysis and predictive modeling. Experience with Python and other modeling tools. </p><h2>Benefits &amp; Perks</h2><p>While we are serious about our company's culture, we aren't going to force "culture" to prove that we are cool and fun. It’s a company filled with smart, genuinely nice individuals who are passionate about data science, energy and working together to build a product that can have a lasting impact on our planet.</p><p>Even though we are a remote company with employees spread across the globe, we still believe human interaction is a good thing. We will also have an all-company event at least once a year so people can get to know each other in a more fun and social way.</p><ul><li>Competitive salary plus stock option package. <em>Compensation based on geographical location.</em></li><li>Medical, dental and vision insurance</li><li>Family planning benefits through Carrot which includes IVF plus preservation treatments, adoption and gender affirming care.</li><li>Access to mental health services</li><li>Annual company retreat</li><li>Pre-tax commuter benefits plus CitiBike annual subscription.</li><li>Work from home budget</li><li>401k</li><li>Learning and development opportunities</li><li>Flexible PTO policy</li><li>Remote</li></ul><p>If you are excited about contributing to a product that can have a lasting impact on our planet and you thrive in fast-paced, innovative environments, we would love to hear from you.</p>

Revolutionizing energy monitoring with real-time data forecasts, Amperon brings AI to the smart grid of the future.

Senior Data Scientist (PHD)

<p>Join us at Gradient, where our purpose is to revolutionize home comfort while championing environmental sustainability. Our mission is to combat the escalating challenge of climate change by redefining how homes are heated and cooled. Today, the environmental impact of heating and cooling systems surpasses that of the entire transportation sector, and without intervention, this trend is set to escalate drastically. At Gradient, we believe that ensuring comfortable living spaces shouldn’t come at the cost of our planet. We envision a future where every individual can enjoy the luxury of a comfortable home without contributing to carbon emissions. Our high-efficiency, low-carbon heat pump is just the beginning of our journey toward fully decarbonizing buildings. By joining Gradient, you’ll be at the forefront of a movement to make sustainable living accessible to all, ensuring healthier communities and a brighter, greener future.</p><p>As a Senior Thermal Research Engineer, you will design and select thermal components and develop thermal control algorithms that lead to products with high reliability and industry-leading performance. You will be expected to understand the effects of component and subsystem behaviors at the system level and balance considerations of performance and user thermal comfort. You will collaborate with designers and engineers to drive continuous improvement in our line of products.</p><p><strong>Responsibilities:</strong></p><ul><li>Develop thermal systems for heat pumps with novel form factors to cut carbon emissions and expand access to healthy, comfortable buildings</li><li>Design thermal algorithms that meet product and performance requirements</li><li>Design, source, and qualify heat pump components</li><li>Design and run tests, process and understand results, and identify paths forward</li><li>Use modeling techniques to understand thermal phenomena</li><li>Collaborate with designers and engineers to deploy improvements into new and existing products</li></ul><p><strong>Desired Qualifications:</strong></p><ul><li>BS in Engineering or Physics and 5 years of experience in thermal engineering OR MS/PhD in Engineering or Physics and 3 years of experience in thermal engineering</li><li>Strong expertise in thermodynamics, fluid mechanics, and/or heat transfer</li><li>Skilled in data-driven analysis and decision-making</li><li>Hands-on experience building/assembling/troubleshooting thermal and/or mechanical systems</li><li>Capable of developing data acquisition software (e.g., LabVIEW)</li><li>Proficient in creating physics-based models using Matlab, Python, or similar</li><li>Ability to communicate technical concepts to cross-functional audiences with broad experience levels</li></ul><p><strong>Bonus Qualifications:</strong></p><ul><li>3+ years of heat pump, AC, or HVAC design experience</li><li>Previously launched products</li><li>Experience designing for thermal comfort</li><li>Reliability test experience</li></ul><p><br><br></p>

Transforming homes for comfort and health while reducing environmental impact through high-efficiency, low-carbon heat pumps.

Senior Thermal Research Engineer

<div>🌳 Infogrid began in 2018 on a mission to make buildings more sustainable, buildings account for 39% of global carbon emissions and we’re creating real solutions to impact this! </div><div><br></div><div>🚀 We have amazing products solving real world problems, come and join us in either the UK or US and help drive our mission forward. </div><div><br></div><div><br></div><div><b>The role</b></div><div><br></div><div>You will work with cutting-edge IoT technology in building environments leveraging your technical skills to create opex projects and recommendations throughout our portfolio of established customers. You will help customers utilize their building systems-based insights and recommendations to ensure that they get the most out of the platform.</div><div><br></div><div>You will develop a trusted advisor relationship with key customer stakeholders, onsite building engineers/operators, and Directors of Engineering. You will maintain a communication cadence with customers to drive the identiﬁcation, quantiﬁcation, and implementation of building systems projects. </div><div><br></div><div>You will become the main point of contact and engineering support between the company and the onsite engineers and operators. You will become a subject matter expert on the Infogrid platform and your domain expertise will help ensure client success and continue to push the limits of creative ways to apply the capabilities of Infogrid to the world of real estate.</div><div><br></div><div><b>Who you will work with</b></div><div><br></div><div>While you will spend a lot of your time engaging with customers, you will also be working with Infogrid Account Executives and Engagement Managers to mitigate churn and drive renewals. You will represent the voice of the customer to help drive the product roadmap forward.</div><br><br><h3>The skills we are looking for...</h3><ul><li>5+ years of consulting experience in the energy industry.</li><li>Experience evaluating a variety of HVAC and Controls systems including Central Energy Plants, chillers, boilers, commercial  heating systems,  unitary equipment, and open protocol Building Management Systems.</li><li>Empathetic, positive attitude with a desire to help our customers reach their building systems goal.</li><li>Understanding of the analytics and reporting used to measure energy efficiency in buildings, portfolios, and building systems.</li><li>Ability to understand and communicate on complex building systems.</li><li>Ability to clearly explain the impact, value, and steps required to execute complex technical concepts to onsite building engineers/operators and real estate executives.</li><li>Exceptional communication skills, highly organized, collaborative and detail-oriented.</li><li>Experience building and maintaining relationships, while working to mitigate churn and drive engagement and renewals.</li><li>Passion for technology and for being a part of a fast-growing SaaS company.</li><li>Strong leadership skills.</li><li>BS or MS in Mechanical Engineering, System Engineering, or Energy Management.</li><li>Certified Energy Manager certiﬁcation (beneficial).</li><li>Professional Engineering license (beneficial).</li></ul><h3> Within 1 Month you will…</h3><ul><li>Attend Infogrid On-Boarding Training.</li><li>You’ll learn about all aspects of the business with sessions across the different functional groups within Infogrid.</li><li>Learn pertinent internal tools (Google Apps, Slack, Zoom, Salesforce, Infogrid Platform).</li><li>Learn about common Infogrid installation types and metering devices with which the implementations interact.</li><li>Learn Infogrid's library of building systems recommendations.</li><li>Shadow cadence calls held by Infogrid Senior Building Systems Engineers with onsite staff.</li><li>Shadow calls across implementation and customer onboarding to build an understanding of customer implementations, methodology, key milestones, systems, processes, and differing integration needs.</li><li>Learn about the various products we offer and how we interact cross-functionally with these teams.</li></ul><h3>Within 2 Months you will…</h3><ul><li>Demonstrate product proﬁciency and understanding.</li><li>Be assigned and begin servicing your own buildings and accounts.</li><li>Work with the Account Executive and Engagement Managers to support new opportunities.</li></ul><h3>Within 6 Months you will…</h3><ul><li>Be the product expert and the go-to technical resource for the Sales and Customer Success team.</li><li>You will demonstrate proﬁciency and understanding of building operations from both cost and engineering perspectives.</li><li>Work on enhancing existing solutions by rolling out new processes and tools to improve the efficiency of project generation and impact calculations.</li><li>Provide technical expertise and support for the Product Team.</li><li>Continuously learn and maintain your expert product knowledge as the Infogrid platform evolves and grows.</li><li>Mentor new team members.</li></ul><h3>Within 12 Months you will…</h3><ul><li>Have developed close relationships with customers and fellow Infogridders to get a deep appreciation for the management of real estate portfolios.</li><li>Have oversight and ownership of dozens of real estate portfolios to coordinate and oversee project generation and implementation to provide continuing value to our customers.</li><li>Own the ongoing interactions, priorities, and roadmap for existing solutions.</li><li>Proactively identify, pilot and implement ways to increase efﬁciency in Building Systems Engineering processes; assess results and reﬁne.</li><li>Help train new Building Systems Engineers.</li></ul><br><div><b style="font-size:13.5pt;">Come save the world with us!</b></div><div><br></div><div>❤️<b> Feel good about your work</b>: Infogrid is actively helping big companies reduce their environmental footprint. We also offset everyone’s carbon footprint.</div><div>🤸<b> We’re flexible</b>: We encourage remote working and offer flexible working hours to everyone.</div><div><span style="font-size:11pt;">🌍 </span><b>We're passionate: </b>everyone is passionate about the mission and how the work we do helps our planet</div><div><span style="font-size:11pt;">🫶 </span><b>Work with great people: </b>work alongside incredibly talented and supportive within a small but mighty workforce</div><div><br></div><div>And we'll do everything we can to support you during your application. If you need us to make any adjustments to your recruitment process, speak to our recruitment team who will be happy to support you.</div>

Infogrid provides end-to-end connected sensor solutions which make buildings smarter - quick, affordable, and secure.  

Sensors are small, unobtrusive, and low-cost. Implementation takes minutes. Data is transformed (using proprietary algorithms and machine learning) into actionable energy and cost-saving insights, and easily integrates into existing systems. And the Infogrid system pays for itself in weeks, rather than years.


Building System Engineer

<p>KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold<span>’</span>s business is discovering, defining, expanding, and developing mineral resources, and KoBold<span>’</span>s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.</p><p>KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors.</p><p>Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methods</p><p>KoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates<span>’</span>s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman<span>’</span>s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.</p><p>We are hiring a Senior Decision Scientist to help accelerate our mission.</p><p><strong>About the position</strong></p><p>In this role, you will work to create intelligent systems to guide mineral exploration decisions. You will develop probabilistic models of subsurface geology that fuse domain expert knowledge and quantitative data from geophysical, geochemical, and other measurements. You will design filters to robustly update models of geological uncertainty with new data. You will build intelligent agents to recommend exploration strategies to optimally reduce uncertainty about prospective targets. You will work with geoscientists to build understanding of the quantitive methods and their recommendations. The systems you implement will be used to accelerate discovery of critical battery metals.</p><p>You will join an outstanding team of data scientists and engineers and will work closely with KoBold<span>’</span>s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will rigorously define and quantitatively model geological hypotheses, create simulations of exploration programs, and ultimately design field programs to collect new data that will best reduce uncertainty over critical prospect parameters.</p><p>Ultimately, your role is to help KoBold make valuable discoveries by quantitatively deciding how to best use exploration time and resources to quickly understand mineral prospects. As one of the early members of this team, you will help build these tools from the ground up.</p><p><strong>Responsibilities</strong></p><p>The Senior Decision Scientist will:</p><ul><li>Help develop KoBold<span>’</span>s proprietary software exploration tools.</li><li>Collaborate with geoscientists to create quantitative models of geological systems.</li><li>Create generative models of geological systems for specific prospects using Monte Carlo and other statistical methods.</li><li>Develop Bayesian filters to rigorously track uncertainty throughout exploration data gathering.</li><li>Implement intelligent agents using methods such as Monte Carlo tree search and reinforcement learning to guide data-gathering and other exploration activities.</li><li>Create visualizations to communicate results and build understanding in the exploration team.</li><li>Present to and collaborate with our external partners and stakeholders.</li></ul><p> </p><p><strong>Qualifications</strong></p><p>A great Senior Data Scientist candidate will have:</p><p>Technical skills, including extensive experience with:</p><ul><li>Python<span>’</span>s data science packages and general software engineering practices.</li><li>Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.</li><li>Applied Bayesian statistics including non-parametric models, such as particle filters, Markov chain Monte Carlo sampling, and other methods of statistical inference.</li><li>PyTorch, Tensorflow, or other deep learning and probabilistic programming modules.</li><li>Modeling partially observable Markov decision processes and constrained optimization problems.</li><li>Optimizers for sequential decision problems, including Monte Carlo tree search and reinforcement learning.</li><li> </li></ul><p>Technical knowledge:</p><ul><li>Broad skills in and knowledge of applied statistics, especially Bayesian statistics.</li><li>Understanding of classical and deep machine learning algorithms.</li><li>Knowledge about autonomous system design and high-level intelligent behavior automation.</li></ul><p> </p><p>Training and work experience:</p><ul><li>An advanced degree in the physical sciences, computer science, mathematics, or engineering. Preference is for academic work with a computational focus.</li><li>Post-degree work experience as an autonomy or AI engineer or research scientist. KoBold is willing to consider candidates at the Decision Scientist, Senior Decision Scientist, or Staff Decision Scientist levels, with commensurate compensation, however recent bachelor<span>’</span>s/master<span>’</span>s candidates are unlikely to be competitive.</li></ul><p> </p><p>Work practices and motivation:</p><ul><li>Ability to take ownership and responsibility of large projects.</li><li>Enjoys constantly learning such that you are driving insights and innovations.</li><li>Ability to explain technical problems to and collaborate on solutions with domain experts who aren<span>’</span>t software developers.</li><li>Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.</li><li>Ability to independently prioritize multiple tasks effectively.</li></ul><p> </p><p>It is also helpful, but not required, to have experience with:</p><ul><li>Geostatistics.</li><li>Deep generative/probabilistic models.</li><li>Distributed computing applications for machine learning and other computations</li><li>Collaborative, multi-agent systems optimization.</li></ul><p> </p><p>KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status.</p><p>The US base salary range for this full-time exempt position is $140,000-$250,000.</p><p>Location: KoBold is a remote first workplace, we are open to candidates currently residing anywhere in the United States or Canada. All candidates must be authorized to legally work in either the United States for Canada</p>

AI-powered KoBold Metals® is revolutionizing electrification and combatting climate change with breakthrough discoveries and top-tier industry talent.

Senior Decision Scientist

<h3>Senior Data Scientist</h3><p>KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.</p><p>KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors.</p><p>Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methods</p><p>KoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.</p><p><span style="font-weight:400;">We are hiring a Senior Data Scientist to help accelerate our mission.</span></p>About the position<p>In this role, you will build predictive models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will be creating models and developing software to accelerate discovery of critical battery metals.</p><p>You will join an outstanding team of data scientists and engineers and will work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work.</p><p>Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up.</p>Responsibilities<p>The Senior Data Scientist will:</p><ul><li>Help develop KoBold’s proprietary software exploration tools.</li><li>Find and curate a wide variety of geospectral, geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system.</li><li>Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.</li><li>Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.</li><li>Develop and apply a range of data processing, statistical, and physics-based techniques to geoscientific data — from computer vision to geophysical inversions — and use the results to guide our targeting efforts and inform our acquisition and exploration decisions.</li><li>Present to and collaborate with our external partners and stakeholders.</li></ul>Qualifications<p>A great Senior Data Scientist candidate will have:</p><p>Technical skills, including extensive experience with:</p><ul><li>Python’s data science packages and general software engineering practices.</li><li>Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.</li><li>SQL, as well as familiarity with non-relational databases.</li><li>Cloud computing resources.</li><li>Building a wide variety of predictive models, applying them to different problems, and evaluating and interpreting the results.</li><li>Working with a broad range of types of data including data from physical systems.</li><li>Geospatial analyses and visualizations.</li></ul><p>Technical knowledge:</p><ul><li>Broad skills in and knowledge of applied statistics</li><li>Substantial understanding of Machine Learning algorithms</li></ul><p>Training and work experience:</p><ul><li>An advanced degree in the physical sciences, engineering, computer science, or mathematics.</li><li>Post-degree work experience as a data scientist or data engineer. KoBold is willing to consider candidates at the Data Scientist, Senior Data Scientist, or Staff Data Scientist levels, with commensurate compensation, however recent bachelor’s/master’s candidates are unlikely to be competitive.</li></ul><p>Work practices and motivation:</p><ul><li>Ability to take ownership and responsibility of large projects.</li><li>Enjoys constantly learning such that you are driving insights and innovations.</li><li>Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers.</li><li>Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.</li><li>Ability to independently prioritize multiple tasks effectively.</li></ul><p>It is also helpful but not required to have experience with:</p><ul><li>Creating machine learning models on geospatial data</li><li>Geostatistics</li><li>Image processing or computer vision</li><li>Distributed computing applications for machine learning and other computations</li><li>Containerization solutions</li></ul><p>KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status.</p><p>The US base salary range for this full-time exempt position is $140,000-$210,000.</p><p>Location: KoBold is a remote first workplace, we are open to candidates currently residing anywhere in Australia</p>

Senior Data Scientist, Australia

<h3>Senior Data Scientist</h3><p>KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.</p><p>KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors.</p><p>Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methods</p><p>KoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.</p><p><span style="font-weight:400;">We are hiring a Senior Data Scientist to help accelerate our mission.</span></p>About the position<p>In this role, you will build predictive models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will be creating models and developing software to accelerate discovery of critical battery metals.</p><p>You will join an outstanding team of data scientists and engineers and will work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work.</p><p>Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up.</p><strong>Responsibilities</strong><p>The Senior Data Scientist will:</p><ul><li>Help develop KoBold’s proprietary software exploration tools.</li><li>Find and curate  geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system.</li><li>Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.</li><li>Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.</li><li>Develop and apply data processing, statistical, and physics-based techniques to geoscientific data — from computer vision to geophysical inversions — and use the results to guide our targeting efforts and inform our acquisition and exploration decisions.</li><li>Present to and collaborate with our external partners and stakeholders.</li></ul><strong>Qualifications</strong><p>A great Senior Data Scientist candidate will have:</p><p>Technical skills, including extensive experience with:</p><ul><li>Python’s data science packages and general software engineering practices.</li><li>Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.</li><li>Building, evaluating, and interpreting predictive models</li><li>Data from a variety of physical systems.</li></ul><p>Technical knowledge:</p><ul><li>Broad skills in and knowledge of applied statistics</li><li>Substantial understanding of machine learning algorithms</li></ul><p>Training and work experience:</p><ul><li>An advanced degree in the physical sciences, engineering, computer science, or mathematics.</li><li>4 years of post-degree work experience as a data scientist or data engineer. KoBold is willing to consider candidates at the Data Scientist, Senior Data Scientist, or Staff Data Scientist levels, with commensurate compensation, however recent bachelor’s/master’s candidates are unlikely to be competitive.</li></ul><p>Work practices and motivation:</p><ul><li>Enjoys constantly learning such that you are driving insights and innovations.</li><li>Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers.</li><li>Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.</li><li>Ability to independently prioritize multiple tasks effectively.</li></ul><p>It is also helpful but not required to have experience with:</p><ul><li>Creating machine learning models on geospatial data</li><li>Geostatistics</li><li>Image processing or computer vision</li><li>Distributed computing applications for machine learning and other computations</li></ul><p>KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status.</p><p>The US base salary range for this full-time exempt position is $140,000-$220,000.</p><p>Location: KoBold is a remote first workplace, we are open to candidates currently residing anywhere in the United States or Canada. All candidates must be authorized to legally work in either the United States for Canada</p>

Senior Data Scientist

<p>Join us at Gradient, where our purpose is to revolutionize home comfort while championing environmental sustainability. Our mission is to combat the escalating challenge of climate change by redefining how homes are heated and cooled. Today, the environmental impact of heating and cooling systems surpasses that of the entire transportation sector, and without intervention, this trend is set to escalate drastically. At Gradient, we believe that ensuring comfortable living spaces shouldn’t come at the cost of our planet. We envision a future where every individual can enjoy the luxury of a comfortable home without contributing to carbon emissions. Our high-efficiency, low-carbon heat pump is just the beginning of our journey toward fully decarbonizing buildings. By joining Gradient, you’ll be at the forefront of a movement to make sustainable living accessible to all, ensuring healthier communities and a brighter, greener future.</p><p><strong>We are looking for a Senior Motor Control / Firmware Engineer who is an enthusiastic developer, likes to solve meaningful problems, and can support overall firmware, controls, &amp; electronics strategy. The ideal candidate is very adaptable and technically minded while having an uncompromising focus and vision for our customers’ needs.</strong></p><p>A reasonable salary estimate for this role is between$170,000-$210,000. This role is required to be in our San Francisco, Mission office at least 3 days per week. </p><p><strong>Responsibilities</strong></p><ul><li>Push the envelope for motor control systems to ever greater performance</li><li>Optimize BLDC motor controls and power controls to provide best in class efficiency</li><li>Turn white papers and ideas from our research and product teams into production level features</li><li>Contribute and collaborate on embedded firmware development for the overall system in addition to motor controls</li></ul><p><strong> </strong><strong>Desired Qualifications</strong></p><ul><li>Expert in Embedded C</li><li>5+ years of firmware development experience in production environments</li><li>Experience with high power BLDC/PMSM motor control, including effective implementation of Park and Clarke transforms on an embedded platform</li><li>Knowledge of AC/DC active power factor correction</li><li>Knowledge of serial communications protocols such as USB, SPI, I2C, UART</li><li>Experience implementing real-time feedback controls such as PID in production environments</li><li>Experience with benchmarking and optimizing algorithms for real-time OS</li><li>BS Degree in Computer Science, Electrical Engineering, Mechatronics or similar</li><li>Proven track record of shipping high-quality electronics and software in consumer products on a tight schedule</li><li>Proficiency reading and interpreting schematics</li></ul><p><strong>Bonus Qualifications</strong></p><ul><li>Experience implementing advanced model-based controls such as Smith predictor, LQR, feedback linearization in production environments</li><li>Experience working with wireless communication SoCs, especially for WiFi and BLE</li><li>Experience with AWS IoT Core and related services</li><li>Experience with Altium or similar ECAD software</li></ul><p><strong>Benefits </strong></p><ul><li>Equity</li><li>Medical/vision/dental/life/disability insurance</li><li>401k</li><li>Paid parental leave</li><li>Professional Development Stipend</li><li>Commuter benefits</li><li>Unlimited PTO </li><li>Relocation package ( out of state applicants only )</li></ul><p><strong><em>We are committed to building a diverse and inclusive company. We seek to create a culture where everyone can belong because we believe that people do their best work when they can show up every day as their authentic selves. We welcome people of different backgrounds, experiences, abilities, and perspectives.</em></strong></p><p><strong><em>Gradient is an equal opportunity employer. We do not make hiring or employment decisions on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, disability status, or genetic information, in compliance with applicable federal, state and local law.</em></strong></p><p> </p>

Senior Motor Control / Firmware Engineer 

<h2><strong>The Company You’ll Join</strong></h2><p>Amperon is the leading analytics and forecasting company for the energy transition. Our platform leverages advanced algorithms and machine learning techniques to accurately forecast energy demand on both the supply (power &amp; utilities companies) and demand (large energy users) sides of the market. We incorporate real-time data feeds that help our clients reduce cost, monitor energy efficiency while increasing substantially. </p><p>We bring the brightest mind from energy, security and technology in order to combat climate changes and transition to clean energy solutions. We have offices in Texas but are a remote first company.</p><h2><strong>Our Strategy</strong></h2><p>Amperon operates at the intersection of energy data, AI, and domain expertise to empower the world to navigate the energy transition more effectively. Using best-in-class data ingestion and management infrastructure, coherent AI/ML models, and leading-edge predictive analytics, Amperon provides tools that generate economic and societal value. </p><p>Amperon seeks to modernize the grid data and AI software stack to improve reliability, optimize asset economics, and accelerate decarbonization for grid operators, asset owners, and end-users. We're building the next generation of market-leading energy analytics and forecasting products, and we want you to be part of our journey!</p><p> </p><h2><strong>The team you’ll work with</strong></h2><p>We are building a world class data team that processes and analyzes large volumes of data, uncover patterns, and make predictions around energy forecasting. Our team Ingests and models hundreds of thousands of high-resolution time series, updated at 15-minute intervals. </p><p>We utilize distributed computing and parallel processing to handle large-scale data that’s used to combat climate volatility. We are a small growing team with opportunities to drive architectural discussions around our data infrastructure.</p><h2><strong>The Impact</strong></h2><p>You will be playing a critical role in building out the foundation of our data stack. It is a force-multiplier development role that allows an engineer to have an impact broadly across engineering, data science and business. Engineers and data scientists will appreciate the ease of accessing the data while the business will appreciate the insights provided by the data in order to launch new products plus better serve our customers.<strong><br></strong></p><h2><strong>The problems you’ll solve </strong></h2><ul><li>Rebuilding systems to identify more efficient ways to process data. </li><li>Automate the entire forecasting pipeline, including data collection, preprocessing, model training, and deployment,</li><li>Continuously monitor system performance and optimize data processing workflows to reduce latency and improve efficiency.</li><li>Set up real-time monitoring for data feeds to detect anomalies or issues promptly.</li><li>Utilize distributed computing and parallel processing to handle large-scale data</li><li>Design your data infrastructure to be scalable to accommodate future growth in data volume and sources.</li></ul><h2><strong>You may be a fit for this role if</strong></h2><p>You have senior level experience within data engineering with primary focus using Python.</p><p>You have experience with cloud-based infrastructure (Kubernetes/Docker) and data services (GCP, AWS, Azure, et al) and data tooling. You have experience building data pipelines with a proven track record of delivering results that impact the business. You have experience working on complex large codebase with a focus on refactoring and enhancements. You have experience building data monitoring pipelines with a focus on scalability.</p><h2>Benefits &amp; Perks</h2><p>While we are serious about our company's culture, we aren't going to force "culture" to prove that we are cool and fun. It’s a company filled with smart, genuinely nice individuals who are passionate about data science, energy and working together to build a product that can have a lasting impact on our planet.</p><p>Even though we are a remote company with employees spread across the globe, we still believe human interaction is a good thing. We will also have an all-company event at least once a year so people can get to know each other in a more fun and social way.</p><ul><li>Competitive salary plus stock option package. <em>Compensation based on geographical location.</em></li><li>Medical, dental and vision insurance</li><li>Family planning benefits through Carrot which includes IVF plus preservation treatments, adoption and gender affirming care.</li><li>Access to mental health services</li><li>Annual company retreat</li><li>Pre-tax commuter benefits plus CitiBike annual subscription.</li><li>Work from home budget</li><li>401k</li><li>Learning and development opportunities</li><li>Flexible PTO policy</li><li>Remote</li></ul><p>If you are excited about contributing to a product that can have a lasting impact on our planet and you thrive in fast-paced, innovative environments, we would love to hear from you.</p>

Senior Data Engineer

<h2><strong>The Company You’ll Join</strong></h2><p>Amperon is the leading analytics and forecasting company for the energy transition. Our platform leverages advanced algorithms and machine learning techniques to accurately forecast energy demand on both the supply (power &amp; utilities companies) and demand (large energy users) sides of the market. We incorporate real-time data feeds that help our clients reduce cost, monitor energy efficiency while increasing substantially. </p><p>We bring the brightest mind from energy, security and technology in order to combat climate changes and transition to clean energy solutions. We have offices in Texas but are a remote first company.</p><h2><strong>Our Strategy</strong></h2><p>Amperon operates at the intersection of energy data, AI, and domain expertise to empower the world to navigate the energy transition more effectively. Using best-in-class data ingestion and management infrastructure, coherent AI/ML models, and leading-edge predictive analytics, Amperon provides tools that generate economic and societal value. </p><p>Amperon seeks to modernize the grid data and AI software stack to improve reliability, optimize asset economics, and accelerate decarbonization for grid operators, asset owners, and end-users. We're building the next generation of market-leading energy analytics and forecasting products, and we want you to be part of our journey!</p><h2><strong>The problems you’ll solve</strong></h2><p>The data team has deep expertise on algorithms and machine learning science. This new role will bring ML best practices to the Data Science teams.</p><ul><li>Collaborate with data science and engineering to establish machine-learning and data management workflows</li><li>Create tools and processes that maximize machine-learning output and use of resources</li><li>Improve capabilities of monitoring, debugging and overall management of models</li><li>Partner with data science to proactively iterate and fine-tune model training for best performance and efficiency</li></ul><h2><strong>You may be a fit for this role if</strong></h2><p>You have senior level expertise with building machine learning models. Experience building end-to-end scalable ML infrastructure with on-premise or cloud platforms including Google Cloud Platform (GCP), Amazon Web Services (AWS) or Azure. You have strong experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Proven experience in optimizing ML models for performance and scalability, including parallel computing and distributed systems. You have strong experience in OO design and programming in Python.</p><h2>Benefits &amp; Perks</h2><p>While we are serious about our company's culture, we aren't going to force "culture" to prove that we are cool and fun. It’s a company filled with smart, genuinely nice individuals who are passionate about data science, energy and working together to build a product that can have a lasting impact on our planet.</p><p>Even though we are a remote company with employees spread across the globe, we still believe human interaction is a good thing. We will also have an all-company event at least once a year so people can get to know each other in a more fun and social way.</p><ul><li>Competitive salary plus stock option package. <em>Compensation based on geographical location.</em></li><li>Medical, dental and vision insurance</li><li>Family planning benefits through Carrot which includes IVF plus preservation treatments, adoption and gender affirming care.</li><li>Access to mental health services</li><li>Annual company retreat</li><li>Pre-tax commuter benefits plus CitiBike annual subscription.</li><li>Work from home budget</li><li>401k</li><li>Learning and development opportunities</li><li>Flexible PTO policy</li><li>Remote</li></ul><p>If you are excited about contributing to a product that can have a lasting impact on our planet and you thrive in fast-paced, innovative environments, we would love to hear from you.</p>

Machine Learning Engineer

<div><h2><strong>The Company</strong></h2><p><span style="font-weight:400;">Sofar is on a mission to connect the world’s oceans. We design, build, and deploy the largest privately owned network of marine weather sensors to power the world’s best marine weather forecasts. Our data helps our customers to increase efficiency and reduce emissions, delivering tools to governments and other stakeholders to understand impacts of climate change on extreme weather and ocean health. We live on Planet Ocean, and our goal is to create the ocean intelligence needed to ensure a sustainable future. </span></p></div><h2>The Position</h2><p>We are looking for a product-driven senior software engineer to join our team as we scale our groundbreaking Wayfinder weather routing service for the maritime transport industry. In this position you will help design, develop, and maintain services in the Wayfinder Optimization Engine – an optimal ship-routing tool that combines weather data with ship performance models and user-specified constraints to find the most efficient routes across the worlds' oceans, saving fuel, emissions and reducing risk</p><p>Building a great product will require you to have a deep understanding of our customers, their workflows and the data they work with every day. You’ll collaborate with a top-notch team of engineers and ocean scientists to translate abstract requirements into great code in a novel problem space. You’ll spend a lot of time implementing and improving core algorithms, but will also contribute to the higher level web services and infrastructure in the ecosystem.</p><p>Our tech stack includes Typescript and React on the frontend with backend APIs written using Typescript and Python. You’ll be primarily be working on our routing optimization system, which is written in Rust with some elements in Python. You should be comfortable working with both high- and low-level languages and will be collaborating with engineers to deliver end-to-end features to users. You’re excited to learn new domains &amp; technologies when needed and are a strong communicator with other engineers and non-technical team members.</p><h2>About You</h2><p><strong>Requirements:</strong></p><ul><li>Passionate about the opportunity to join a growing mission-driven startup to make a big positive impact on the world</li><li>A great communicator with a collaborative mindset who enjoys working with other engineers, designers, product managers, and scientists</li><li>3+ years professional experience as a software engineer</li><li>Experience in Rust, C++, C (compiled, non-garbage-collected language)</li><li>Experience in Python or Ruby</li></ul><p><strong>Bonus Points:</strong></p><ul><li>Experience building software for optimization problems, pathfinding algorithms, and/or controls systems</li><li>Experience working with modeling and data science applications and teams</li><li>Experience working with scaled application deployment and management</li><li>Experience working with modeling with data science teams</li><li>Experience working with scaled application deployment and management</li><li>Experienced with Typescript</li><li>A personal connection to or passion for the oceans</li></ul><h3>Estimated Salary Range</h3><ul><li>$165,000 - $180,000</li><li>The range listed is what we reasonably expect to pay for this role at the time of this posting. We may ultimately pay more or less than the posted range and may be modified in the future. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, experience, and equity package.</li></ul><h3>Sofar's Commitment to Climate Justice</h3><p>We at Sofar Ocean acknowledge that careers in the marine sciences “... have traditionally been, and remain, non-diverse work environments”, thereby limiting the entry and prosperity of underrepresented groups in the space. (<a href="https://www.frontiersin.org/articles/10.3389/fmars.2021.696180/full">Johri et al.</a>, 2021) Many of these same groups are disproportionately affected by climate change, and are often excluded from decision making that directly address their interests and needs.</p><p>We are committed to addressing these climate injustices and highly encourage people who identify as women, LGBTQ+, Black, Indigenous, and people of color (BIPOC) to apply.</p><p> </p><div><h2><strong>Employee Conduct</strong></h2><p>It is the responsibility of every employee to contribute to a positive work environment through cooperative and professional interactions with co-workers, customers, and vendors.</p><h2><strong>Equal Employment Opportunity</strong></h2><p>All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other factors prohibited by law.</p></div>

Connecting oceans through a private network of marine sensors, Sofar delivers powerful weather forecasts and sustainable solutions.

Senior Software Engineer, Routing Team

<div>Commonwealth Fusion Systems (CFS) has the fastest, lowest cost path to commercial fusion energy.</div><div><br></div><div>CFS collaborates with MIT to leverage decades of research combined with groundbreaking new high-temperature superconducting (HTS) magnet technology. HTS magnets will enable compact fusion power plants that can be constructed faster and at lower cost. Our mission is to deploy these power plants to meet global decarbonization goals as fast as possible. To that end, CFS has assembled a team of leaders in tough tech, fusion science, and manufacturing with a track record of rapid execution. Supported by the world’s leading investors, CFS is uniquely positioned to deliver limitless, clean, fusion power to combat climate change. To implement this plan, we are looking to add dedicated people to the team who treat people well, improve our work by adding multifaceted perspectives and new ways of solving problems, have achieved outstanding results through a range of pursuits, and have skills and experience related to this role.</div><div><br></div><div><span style="font-size:11pt;">The Scientific Software team at CFS writes software to support many different teams across CFS ranging from R&amp;D to operations. We are seeking two Senior Scientific Software Engineers who will collaborate closely with science, engineering, and manufacturing experts at CFS and MIT. Their primary responsibilities will include identifying data and modeling requirements, and subsequently leading the development of robust, scalable software solutions tailored to the needs of our diverse teams.  They will also provide software support for R&amp;D analysis, with an emphasis on cross-training and utilizing technical skills from fields other than software.</span></div><div><span style="font-size:11pt;"> </span></div><div><span style="font-size:11pt;">During their first year with CFS, the new Scientific Software Engineer will work on one of these topics:</span></div><div><span style="font-size:11pt;">Topic 1: Design and simulation tools for superconducting magnets</span></div><div><span style="font-size:11pt;">Topic 2: Pulse planning, simulation and physics collaboration framework for the SPARC tokamak</span></div><br><br><h3>This team member will:</h3><ul><li>Extract software-compatible models/analyses from real-world physical problems - Discuss the problem with domain experts to determine the requirements for the model and what simplifications can be made</li><li>Construct new company-internal software products implementing those models/analyses</li><li>Help scientists and engineers to incorporate their analysis scripts into high-quality software, and help them to automate their workflows</li><li>Implement CI/CD processes to reduce maintenance overhead and error rates</li><li>Operate resulting software, generate visualizations, and communicate results</li></ul><h3>The ideal candidate will have most, if not all, of these requirements:</h3><ul><li>Bachelor’s degree in a technical field preferred</li><li>Demonstrated drive and self-education (e.g. graduate research, research publications, well-documented side projects, student engineering teams, ambitious work projects, entrepreneurship)</li><li>Brought several software projects (or major features of existing projects) from conception through release in a software engineering team</li><li>Engineering or physics analysis in high-consequence environments</li><li>Demonstrated ability to quickly learn about new technical skills and engineering sub-disciplines</li><li>Programming language: Python</li><li>CI/CD processes, linting, unit testing, software documentation, programming to a style standard </li><li>Numerical methods: algorithms for solving systems of equations, differential equations, and optimization </li></ul><h3>Additional preferred experience and/or qualifications:</h3><ul><li>Designed and built multiple systems that involved engineering tradeoffs and produced rapid feedback from the physical universe (e.g. student engineering teams, graduate research, work project), preferably as a technical lead</li><li>Programming language: Rust or C++</li><li>Finite element methods </li><li>Familiarity with electromagnetics and thermodynamics </li><li>At least one technical specialization other than software </li><li>Perform activities such as typing or sitting for extended periods of time</li><li>Dedication to safety to mitigate industrial hazards that may include heat, cold, noise, fumes, strong magnets, lead (Pb), high voltage, and cryogenics</li><li>Willingness to travel or work required nights/weekends/on-call occasionally</li><li>#LI-Hybrid</li></ul><br><div>CFS team members thrive in a fast-paced, dynamic environment and have demonstrated exceptional results through a range of different pursuits.  We all tightly align with our company values of integrity, execution, impact and self-critique.  As we grow, we are looking to add talented people who are mission driven and bring diverse perspectives and new ways of solving problems.</div><div><br></div><div>At CFS, we deeply value diversity and are an equal opportunity employer by choice. We consider all qualified applicants equally for employment. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.</div>

Creating a clean, limitless energy future through commercial fusion power - Commonwealth Fusion Systems leads the way with innovation and expertise.

Senior Scientific Software Engineer

<div><p><span style="font-weight:400;font-size:12pt;">May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. </span></p><p><span style="font-size:12pt;"><span style="font-weight:400;">Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces.</span><span style="font-weight:400;"> </span><span style="font-weight:400;">Since our founding in 2017, we’ve given more than 300,000 autonomy-enabled rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.</span></span></p></div><p><strong>Your Opportunity to Drive Success</strong></p><p><span style="font-weight:400;">You will have an opportunity to independently impact our approach to solving the most interesting problems facing AV’s today, while operating live in the wild.</span></p><ul><li style="font-weight:400;"><span style="font-weight:400;">Work independently with cross functional teams to develop software and system requirements</span></li><li style="font-weight:400;"><span style="font-weight:400;">Develop simulation tools to support safety and performance testing of Autonomous Vehicles</span></li><li style="font-weight:400;"><span style="font-weight:400;">Lead team code quality activities including design and code reviews</span></li><li style="font-weight:400;"><span style="font-weight:400;">Ensure that internal users/developers can design and add needed automatic test coverage cases efficiently and effectively.  Work to train internal users on this process as needed.</span></li></ul><h3><strong>Required Qualifications</strong></h3><ul><li style="font-weight:400;"><span style="font-weight:400;">B.S. Degree in Computer Science, Computer Engineering, or an equivalent degree and a minimum of 2 years of industry experience</span></li><li style="font-weight:400;"><span style="font-weight:400;">Significant experience working in modern C++ (C++14/17/20)</span></li><li style="font-weight:400;"><span style="font-weight:400;">Strong working knowledge of design patterns, data structures, and algorithms</span></li><li style="font-weight:400;"><span style="font-weight:400;">Experience designing, building, and expanding complex software systems with real-time and performance constraints</span></li><li style="font-weight:400;"><span style="font-weight:400;">Experience in some form of real-time simulation platform development and integration (game engine, autonomous vehicle simulation, etc…) </span></li><li style="font-weight:400;"><span style="font-weight:400;">Excellent attention to detail and rigorous testing methodology</span></li><li style="font-weight:400;"><span style="font-weight:400;">Excellent written and verbal communication skills</span></li><li style="font-weight:400;"><span style="font-weight:400;">Ability to provide technical leadership for a development team</span></li><li style="font-weight:400;"><span style="font-weight:400;">Previous experience developing in Linux environments or ability to adapt to this environment</span></li><li style="font-weight:400;"><span style="font-weight:400;">Experience with robotics, automotive engineering, or start-ups is not required</span></li></ul><h3><strong>Desired Qualifications</strong></h3><ul><li style="font-weight:400;"><span style="font-weight:400;">M.S. Degree in Computer Science, Computer Engineering and 3+ years of industry experience</span></li><li style="font-weight:400;"><span style="font-weight:400;">Significant experience working in Python is a plus</span></li><li style="font-weight:400;"><span style="font-weight:400;">Significant experience with data science tools in python (e.g. numpy, scipy, scikit-learn) is a plus</span></li><li style="font-weight:400;"><span style="font-weight:400;">rust experience is a plus</span></li><li style="font-weight:400;"><span style="font-weight:400;">Experience with Applied Intuition simulation software suite a plus (Simian, Logstream, Spectral, etc…)</span></li></ul><h1 style="line-height:1;"><span style="font-size:10pt;"><strong>Physical Requirements</strong></span></h1><ul><li>Standard office working conditions which includes but is not limited to:</li><ul><li>Prolonged sitting</li><li>Prolonged computer use</li></ul></ul><ul><li style="line-height:1;">Travel requirements - example- expectations 5-10%</li></ul><div><div><div>Salary Range</div><div><span>$152,000</span><span>—</span><span>$180,000 USD</span></div></div></div><div><div><div><div><div><div><div><p><span style="font-size:12pt;"><strong>Benefits and Perks</strong></span></p><ul><li style="font-weight:400;font-size:12pt;"><span style="font-weight:400;font-size:12pt;">Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate! </span></li><li style="font-weight:400;font-size:12pt;"><span style="font-weight:400;font-size:12pt;">Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.</span></li><li style="font-weight:400;font-size:12pt;"><span style="font-weight:400;font-size:12pt;">Rich retirement benefits, including an immediately vested employer safe harbor match.</span></li><li style="font-weight:400;font-size:12pt;"><span style="font-weight:400;font-size:12pt;">Generous paid parental leave with immediate eligibility as well as a phased return to work. </span></li><li style="font-weight:400;font-size:12pt;"><span style="font-weight:400;font-size:12pt;">Flexible vacation policy in addition to 18 paid company holidays.</span></li><li style="font-weight:400;font-size:12pt;"><span style="font-size:12pt;"><span style="font-weight:400;">Total Wellness Program providing numerous resources for overall wellbeing  </span> </span></li></ul></div><div><span style="font-size:12pt;">Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.</span></div></div></div></div></div></div><p><span style="font-size:12pt;"><em><span style="font-weight:400;">Want to learn more about our culture &amp; benefits? Check out our <a href="https://maymobility.com/careers/">website</a>!</span></em></span></p><p><span style="font-size:12pt;"><em><span style="font-weight:400;">May Mobility is an equal opportunity employer.  All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis.   Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary.  Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.</span></em></span></p><p><span style="font-size:12pt;"><strong><em>Note to Recruitment Agencies:</em></strong><em><span style="font-weight:400;"> May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.</span></em></span></p><p><br><br></p></div>

Building autonomous electric vehicles with a strong emphasis on safety, aiming to launch the first fully driverless experience.

Senior Autonomy Engineer - Simulations

<div>StreetLight pioneered the use of Big Data analytics to shed light on how people, goods, and services move, empowering smarter, data-driven transportation decisions. The company applies proprietary machine-learning algorithms and data processing resources to measure travel patterns of vehicles, bicycles and pedestrians that enable complex transportation problem solving using analytics available on SaaS platform, StreetLight InSight®. Acquired by Jacobs as a subsidiary in February 2022, StreetLight continues to provide innovative digital solutions to help communities reduce congestion, improve safe and equitable transportation, and maximize the positive impact of infrastructure investment.</div><div><br></div><div><b>StreetLight Data</b> is seeking a creative, versatile, and motivated <b>Senior Data Scientist</b> to be part of our growing team. This team member will lead data science projects to develop exciting new algorithms for our product, as well as help productize those algorithms into our scalable StreetLight InSight® analytics platform.  This position reports to the Director of Data Science.</div><div> </div><div><b>Location</b>: Remote within the United States with a preference of West Coast (Pacific time)</div><div><br></div><div><b>What You'll Do: </b></div><div>●<span style="font-size:7pt;">       </span>Design algorithms to infer key transportation patterns from various data sources</div><div>●<span style="font-size:7pt;">       </span>Research and implement suitable strategies (e.g. regression models, ML models, etc.) for solving data science problems</div><div>●<span style="font-size:7pt;">       </span>Find and build real-world data sets for training various models and doing quality checks</div><div>●<span style="font-size:7pt;">       </span>Productize data science algorithms within the StreetLight InSight® platform, in collaboration with the Application Engineering team</div><div>●<span style="font-size:7pt;">       </span>Create visualizations and dashboards to help tell stories with data</div><div>●<span style="font-size:7pt;">       </span>Define and implement customized and/or cutting-edge solutions for customers</div><div> </div><div><b>What You'll Need: </b></div><div>●<span style="font-size:7pt;">       </span>BS/MS in Mathematics, Computer Science or an Engineering discipline from a top university.  Alternatively, a PhD focused on quantitative research and discovering insights from data is acceptable in lieu of a BS/MS plus experience.</div><div>●<span style="font-size:7pt;">       </span>3-5 years of experience in <b>data science and/or statistics</b> using a coding language (<b>Python strongly preferred</b>)</div><div>●<span style="font-size:7pt;">       </span>2+ years of experience in<b> SQL and relational databases (BigQuery or PostgreSQL preferred)</b>, and good understanding of relational concepts</div><div>●<span style="font-size:7pt;">       </span>Strong understanding of techniques in data science (machine learning algorithms, regression analysis, etc.)</div><div>●<span style="font-size:7pt;">       </span>Strong data analysis skills, knowing what can/cannot be possible, and ability to visualize data in the best way possible</div><div>●<span style="font-size:7pt;">       </span>Good communication skills - written, visual (presentations), and verbal</div><div>●<span style="font-size:7pt;">       </span>Ability to deliver adequate results on deadline, and make compromises to enable scalability and productization of algorithms</div><div>●<span style="font-size:7pt;">       </span>Quick learner, and a strong team player</div><div> </div><div><b>Preferred:</b></div><div>●<span style="font-size:7pt;">       </span>Geo-spatial skills are a plus.</div><div>●<span style="font-size:7pt;">       </span>Knowledge of transportation data / industry is a plus.</div><div><b> </b></div><div>Jacobs’ health and welfare benefits are designed to invest in you and in the things you care about. Your health. Your well-being. Your security. Your future. Eligible employees and their dependents may elect medical, dental, vision, and basic life insurance. Employees are able to enroll in our company’s 401k plan, and, if eligible, a deferred compensation plan and Executive Deferral Plan. Employees will also receive 17 days of vacation per year, seven paid holidays, plus floating holidays and caregiver leave. Hired applicants will be able to purchase company stock and have the opportunity to receive a performance discretionary bonus.</div><div><br></div><div>The base salary range for this position is <b>$130-155k USD. </b>Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.</div><br><br><br><div>StreetLight Data is an equal opportunity/affirmative action employer. StreetLight provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.</div>

Unlocking Smarter Transportation: StreetLight combines Big Data and machine learning to revolutionize transportation decision-making and drive positive change.

Senior Data Scientist (analytics) - REMOTE

<h3>Staff Data Scientist</h3><p>KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.</p><p>KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors.</p><p>Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methods</p><p>KoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.</p><p>We are hiring a Principal Data Scientist to help accelerate our mission.</p><p><strong>About the position</strong></p><p>In this role, you will build predictive models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will create models and develop software to accelerate discovery of critical battery metals.</p><p>You will join an outstanding team of data scientists and engineers and will work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work.</p><p>Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up.</p><p><strong>Responsibilities</strong></p><p>The Principal Data Scientist will:</p><ul><li>Help develop KoBold’s proprietary software exploration tools.</li><li>Find and curate a wide variety of geospectral, geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system.</li><li>Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.</li><li>Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.</li><li>Develop and apply a range of data processing, statistical, and physics-based techniques to geoscientific data — from computer vision to geophysical inversions — and use the results to guide our targeting efforts and inform our acquisition and exploration decisions.</li><li>Present to and collaborate with our external partners and stakeholders.</li></ul><p><strong>Qualifications</strong></p><p>A great Principal  Data Scientist candidate will have:</p><p>Technical skills, including extensive experience with:</p><ul><li>Python’s data science packages and general software engineering practices.</li><li>Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.</li><li>SQL, as well as familiarity with non-relational databases.</li><li>Cloud computing resources.</li><li>Building a wide variety of predictive models, applying them to different problems, and evaluating and interpreting the results.</li><li>Working with a broad range of types of data including data from physical systems.</li><li>Geospatial analyses and visualizations.</li></ul><p>Technical knowledge:</p><ul><li>Broad skills in and knowledge of applied statistics</li><li>Substantial understanding of Machine Learning algorithms</li></ul><p>Training and work experience:</p><ul><li>An advanced degree in the physical sciences, engineering, computer science, or mathematics.</li><li>10 years of post-degree work experience as a data scientist or data engineer. KoBold is willing to consider candidates at the Data Scientist, Senior Data Scientist, or Staff Data Scientist levels, with commensurate compensation, however recent bachelor’s/master’s candidates are unlikely to be competitive.</li></ul><p>Work practices and motivation:</p><ul><li>Ability to take ownership and responsibility of large projects.</li><li>Enjoys constantly learning such that you are driving insights and innovations.</li><li>Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers.</li><li>Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.</li><li>Ability to independently prioritize multiple tasks effectively.</li></ul><p>It is also helpful but not required to have experience with:</p><ul><li>Creating machine learning models on geospatial data</li><li>Geostatistics</li><li>Image processing or computer vision</li><li>Distributed computing applications for machine learning and other computations</li><li>Containerization solutions</li></ul><p>KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, national origin, age, citizenship, marital status, disability, or veteran status.</p><p> </p><p>The US base salary range for this full-time exempt position is $225,000 - $265,000.</p>

Principal Data Scientist

<h3>Staff Data Scientist</h3><p>KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.</p><p>KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors.</p><p>Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methods</p><p>KoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.</p><p><span style="font-weight:400;">We are hiring a Staff Data Scientist to help accelerate our mission.</span></p><p><strong>About the position</strong></p><p>In this role, you will build predictive models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will create models and develop software to accelerate discovery of critical battery metals.</p><p>You will join an outstanding team of data scientists and engineers and will work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work.</p><p>Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up.</p><p><strong>Responsibilities</strong></p><p>The Staff Data Scientist will:</p><ul><li>Help develop KoBold’s proprietary software exploration tools.</li><li>Find and curate  geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system.</li><li>Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.</li><li>Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.</li><li>Develop and apply data processing, statistical, and physics-based techniques to geoscientific data — from computer vision to geophysical inversions — and use the results to guide our targeting efforts and inform our acquisition and exploration decisions.</li><li>Present to and collaborate with our external partners and stakeholders.</li></ul><p><strong>Qualifications</strong></p><p>A great Staff Data Scientist candidate will have:</p><p>Technical skills, including extensive experience with:</p><ul><li>Python’s data science packages and general software engineering practices.</li><li>Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.</li><li>Cloud computing resources.</li><li>Building predictive models, applying them to different problems, and evaluating and interpreting the results.</li><li>Data from a variety of physical systems.</li><li>Geospatial analyses and visualizations.</li></ul><p>Technical knowledge:</p><ul><li>Broad skills in and knowledge of applied statistics and Bayesian inference</li><li>Substantial understanding of machine learning algorithms</li></ul><p>Training and work experience:</p><ul><li>An advanced degree in the physical sciences, engineering, computer science, or mathematics.</li><li>A minimum of 6 years post-degree work experience as a data scientist or data engineer. KoBold is willing to consider candidates at the Senior Data Scientist, Staff Data Scientist, and Principal Data Scientist with commensurate compensation, however recent bachelor’s/master’s candidates are unlikely to be competitive.</li><li>Experience leading technical teams to apply novel scientific approaches to core business problems </li></ul><p>Work practices and motivation:</p><ul><li>Ability to design, scope and implement technical solutions to novel exploration problems </li><li>Enjoys constantly learning such that you are driving insights and innovations.</li><li>Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers.</li><li>Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.</li><li>Ability to independently prioritize multiple tasks effectively.</li></ul><p>It is also helpful but not required to have experience with:</p><ul><li>Creating machine learning models on geospatial data</li><li>Geostatistics</li><li>Image processing or computer vision</li><li>Distributed computing applications for machine learning and other computations</li></ul><p>KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status.</p><p>The US base salary range for this full-time exempt position is $175,000-$275,000.</p><p>Location: KoBold is a remote first workplace, we are open to candidates currently residing anywhere in the United States or Canada. All candidates must be authorized to legally work in either the United States for Canada</p>

Staff Data Scientist

<div>🌳 Infogrid began in 2018 on a mission to make buildings more sustainable, buildings account for 39% of global carbon emissions and we’re creating real solutions to impact this! </div><div><br></div><div>🚀 We have amazing products solving real world problems, come and join us in either the UK or US and help drive our mission forward. </div><div><br></div><div><br></div><div><span style="font-size:10.5pt;">We have a young company environment, where the sky's the limit, but nothing comes for free. You should also know that we are a startup with limited resources operating in a competitive market. Everything moves fast, including our priorities. Sometimes it can be chaotic. Outcomes are not certain, but each day you will do work that has impact.</span></div><div><br></div><div><b style="font-size:10.5pt;">About the Role</b></div><div><br></div><div><span style="font-size:10.5pt;">We are seeking a Lead Product Manager for our Energy and Sustainability product portfolio. Reporting to the VP of Product, you will serve as the “General Manager” for this portfolio, working closely with leaders across the organization to deliver world class products and, ultimately, successful commercial outcomes.</span></div><div><br></div><div>We're open to hiring this role in the US or the UK.</div><br><br><h3>What you’ll be doing</h3><ul><li>Serve as the senior-most Product Manager for our sustainability and energy efficiency portfolio.</li><li>Shape the product vision and develop the product roadmap; clearly communicate what we are building and why we are building it across the business.</li><li>Own the KPIs for your product - including revenue targets.</li><li>Work closely with design, engineering, data science, marketing, sales, deployment, and finance to bring solutions to market on time, on budget, and with high quality.</li><li>Drive the product discovery process, working closely with clients, to determine what goes into the backlog (and then prioritise decisively).</li><li>Work closely with Sales and directly with clients to identify opportunities for product enhancements and new features.</li><li>Working with Data Science to develop value-add applications of AI and ML.</li><li>Evangelise the product both internally and externally.</li></ul><h3>What you will need</h3><ul><li>Proven Product Management experience at a Senior or Lead level.</li><li>Entrepreneurial approach to product creation/development.</li><li>Track record of success at leading cross functional teams (especially design + engineering).</li><li>Be collaborative, curious, and have an ownership mindset.</li></ul><h3>What will make you stand out</h3><ul><li>Experience working in the Proptech or Energy space is highly desirable.</li><li>Experience working in a “Product General Manager” model and/or owning commercial KPIs for your product.</li><li>Experience working with hardware solutions (IoT sensors ideally).</li><li>Worked in a tech startup environment (and enjoyed it!).</li></ul><h3>Why we think you’ll love it here</h3><ul><li>Huge responsibility and fascinating challenges – you’ll be joining us early on in our journey, with plenty of autonomy and room to develop your role.</li><li>Fully remote company: we have offices in London and Washington DC available for employees, but most of us work fully remotely. We also do in-person team and company get togethers throughout the year.</li><li>Joining a fast-growing team of brilliant people building solutions at the forefront of smart building technology!</li><li>We offer a great work environment, a clear development path, and many tangible benefits including: </li><li>Competitive salary and equity participation.</li><li>Healthcare, vision, and dental benefits.</li><li>401k/Pension.</li><li>Remote and highly flexible working.</li><li>Monthly paid personal development days.</li><li>Carbon footprint off-setting (~12 tonnes per employee per year).</li></ul><br><div><b style="font-size:13.5pt;">Come save the world with us!</b></div><div><br></div><div>❤️<b> Feel good about your work</b>: Infogrid is actively helping big companies reduce their environmental footprint. We also offset everyone’s carbon footprint.</div><div>🤸<b> We’re flexible</b>: We encourage remote working and offer flexible working hours to everyone.</div><div><span style="font-size:11pt;">🌍 </span><b>We're passionate: </b>everyone is passionate about the mission and how the work we do helps our planet</div><div><span style="font-size:11pt;">🫶 </span><b>Work with great people: </b>work alongside incredibly talented and supportive within a small but mighty workforce</div><div><br></div><div>And we'll do everything we can to support you during your application. If you need us to make any adjustments to your recruitment process, speak to our recruitment team who will be happy to support you.</div>

Lead Product Manager - Energy

<div>At AMPECO we are accelerating positive change and transformation to clean technologies. We do this by enabling businesses with innovative software solutions in the e-mobility and energy sector. Our product is a SaaS used by companies to manage their EV charging infrastructure, processes and efficient energy use. It’s offered as a white-label product and is already used by companies in the UK, continental Europe, South and North America, Australia and Asia. </div><div><br></div><div>Our team is highly motivated, capable, and committed to our mission. We are looking to expand it with like-minded capable people, eager to give, learn and grow together with us.</div><div><br></div><div><b>About the role</b></div><div><br></div><div>The Customer Success Team Lead will lead and grow a high-performing team within a complex technical environment, ensuring team productivity, customer satisfaction, and continuous upskilling of team members.</div><br><br><h3>Responsibilities</h3><ul><li>Lead a team of Customer Success Managers, facilitate their upskilling and preparation for challenging projects within a dynamic and complex technical environment; </li><li>Distribute workload effectively, considering customer needs and project complexity, while maintaining team productivity;</li><li>Maintain control of client health, providing guidance and assistance where needed;</li><li>Monitor team progress, overseeing the well-being and performance of team members and ensuring support as necessary;</li><li>Assist in handling client escalations and addressing the needs of more complex customers;;</li><li>Organize and manage administrative tasks, including reports to senior management;</li><li>Foster collaboration and interaction with other teams, such as Product and Engineering, to ensure effective coordination and alignment.</li></ul><h3>Your Profile</h3><ul><li>Minimum of 2-3 years of leadership experience in complex technical settings, preferably within a software product company, demonstrating the ability to successfully manage teams and projects;</li><li>Proven experience in developing teams and individuals, fostering growth and capability enhancement within a scale-up environment;</li><li>Solid grasp of technical concepts and skills to comprehend elaborate technology and understand complex business use cases; </li><li>Strong interpersonal and project leadership skills;</li><li>Skillful in managing efficient relationships with various stakeholders;</li><li>English - fluent C1/C1+.</li></ul><h3>What We Offer</h3><ul><li>Opportunity to join a fast-growing company on the path to become a global industry leader;</li><li>Opportunity to work with amazing, highly experienced people;</li><li>Flexible work hours;</li><li>Bonus day-off to celebrate your birthday;</li><li>5 additional vacation days per year, after your first year with the company;</li><li>Social events and awesome team buildings;</li><li>Medical insurance for you and for your family, with great coverage;</li><li>Monthly shared mobility allowance (covers Spark and GOeGO);</li><li>EV week – you get a company electric car for yourself for a week every 1-2 months.</li></ul><br>

AMPECO enables large-scale EV charging providers to launch and scale their business operations under their own brand. The company offers a white-label and hardware-agnostic EV charging management platform to cover all business cases - public, private, and home charging. Advanced energy management, flexible billing and subscription management, automatic maintenance algorithms, and inter-operator roaming are some of the platform’s key components. With security and scalability at its core, the platform allows large-scale operators like energy companies, oil and gas, fleets, hardware manufacturers and installers to achieve quick go-to-market in a few months with a ready-made platform combined with unmatched flexibility and extensibility via APIs. AMPECO supports more than 110 charging network operators in over 45 markets and has been globally recognized by Frost & Sullivan for its superior technological innovation and strategic development with the 2022 Global Product Leadership Award.


Customer Success Team Lead

<div><p><span style="font-weight:400;font-size:12pt;">May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. </span></p><p><span style="font-size:12pt;"><span style="font-weight:400;">Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces.</span><span style="font-weight:400;"> </span><span style="font-weight:400;">Since our founding in 2017, we’ve given more than 300,000 autonomy-enabled rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.</span></span></p></div><p><strong>サイトオートノミーエンジニア - 東京勤務</strong></p><p><strong>Site Autonomy Engineer - Tokyo-based Position</strong></p><p> </p><p><strong>Job Summary　この求人について</strong></p><p>The Site Autonomy Engineer’s primary role will be the hands-on support of the operational fleet in the respective site location. The engineer will work intimately with the electromechanical and software elements of the system to ensure the success of the launch and the safety of autonomous driving solutions.</p><p>サイトオートノミーエンジニア（東京勤務）の主な役割は、所属する現地の運用サイトの実地サポートです。エンジニアは、電気機械およびソフトウェアの要素と緊密に連携し、自動運転のサイト立ち上げの成功とその安全性を確保するための作業を行います。</p><p> </p><p><strong>Job Responsibilities　職務概要</strong></p><ul><li>Perform hardware maintenance and regular maintenance of autonomous vehicles</li><li>Conduct sensor calibration, and data collection for autonomous vehicles</li><li>Perform on-site software configuration, map development, and driving test for autonomous driving technology</li><li>Respond to field issues and improvement requests by modifying maps, troubleshooting root causes, testing improvements and documenting solutions</li><li>Collaborate with the engineering team to execute on-site testing for safety and passenger comfort</li><li>Collaborate with the operation team to provide daily inspections and technical support</li><li>Act as an escalation point at the call center for handling technical inquiries</li></ul><p> </p><ul><li>自動運転車両のハードウェア保守及び定期メンテナンスの実施</li><li>自動運転車両のセンサーキャリブレーションの実施</li><li>自動運転技術に関するソフトウェアの現地設定の実施</li><li>センサーデータの収集、地図の開発とテストのタスクの実施</li><li>現場の問題や改善要求に応えるためのトラブルシューティング、地図の修正、改善のテスト、および解決策の文書化の実施</li><li>エンジニアリングチームと連携して安全性と乗客の快適さのための現地テストの実施</li><li>オペレーションチームと連携して日常点検及び技術サポートの提供</li><li>コールセンターのエスカレーションポイントして技術的な問い合わせの対応</li></ul><p> </p><p><strong>Qualifications and Skills　応募資格とスキル</strong></p><p><strong>Required Qualifications:</strong>　必要な資格</p><ul><li>Bachelor's degree in Mechanical Engineering, Electrical Engineering, Computer Science or relevant experience</li><li>3+ years of experience in wire harnesses and basic mechanical subsystems</li><li>Experience with computing environments in Linux. Utilizing Git, or willingness to learn.</li><li>Ability to think holistically about the entire system and prioritize safety in all tasks</li><li>Ability to read and understand mechanical or electrical drawings</li><li>Excellent Japanese verbal and written communication skills</li><li>Experience working in an environment with international team members</li><li>Possession of the Japanese driver's license for regular automobiles</li></ul><p> </p><ul><li>機械工学、電気工学、情報理工の学士号または関連する経験</li><li>ワイヤーハーネスと基本的な機械サブシステムにおいて3年以上の経験</li><li>Linuxにおけるコンピューティング環境に対する経験、Gitの使用経験、または学習能力</li><li>システム全体を俯瞰する思考力及びすべての作業における安全第一のアプローチ</li><li>機械または電気の図面を読み解き理解する能力</li><li>優れた日本語の口頭および文章でのコミュニケーション能力</li><li>米国のチームと円滑に協業するため、抵抗感なく簡単な英語の使用能力</li><li>普通自動車第一種免許の所有</li></ul><p> </p><p><strong>Preferred Qualifications</strong>　望ましい応募資格</p><ul><li>Possession of the driver's license for middle-size or above vehicles</li><li>Experience in programming using Python and C++, as well as knowledge of algorithms related to autonomous driving</li><li>Proficiency in diagnosing and troubleshooting mechanical and electrical systems</li><li>Experience in Agile development projects</li></ul><p> </p><ul><li>中型自動車第一種免許以上の所有</li><li>PythonやC++を使用したプログラミング経験、自動運転に関するアルゴリズムの知識</li><li>機械および電気システムの診断とトラブルシューティングの能力</li><li>アジャイル開発プロジェクトの経験</li></ul><p> </p><p><strong>Benefits, Perks, and Career Path　</strong>福利厚生及びポジションの魅力・キャリアパス</p><ul><li>Competitive salary, stock incentives, and equity refresh programs</li><li>Medical insurance, health insurance, labor insurance, and employment insurance</li><li>Holiday and vacation benefits: Saturday and Sunday, Japan national holidays, and annual paid leave</li><li>Opportunity to be part of a dynamic US-based company, working with cutting-edge autonomous driving technology to meet customer needs at the forefront</li><li>Careful annual performance evaluation and comprehensive promotion system, providing ample opportunities for technical and professional growth</li></ul><p> </p><ul><li>競争力のある給与、株式インセンティブとエクイティリフレッシュプログラム</li><li>医療保険、健康保険、労働保険、雇用保険</li><li>完全週休2日、国民の祝日、年次有給休暇</li><li>活力ある米国企業の一員として、最先端の自動運転技術に触れ、最前線でお客様のニーズを満たす機会</li><li>慎重な年次パフォーマンス評価と充実した昇進制度により、技術的および専門的な成長のための十分な機会</li></ul><p> </p><h1 style="line-height:1;"><span style="font-size:10pt;"><strong>Physical Requirements</strong></span></h1><ul><li>Standard office working conditions which includes but is not limited to:</li><ul><li>Prolonged sitting</li><li>Prolonged computer use</li></ul></ul><ul><li style="line-height:1;">Travel requirements - example- expectations 5-10%</li></ul><div><div><div><div><div><div><div><p><span style="font-size:12pt;"><strong>Benefits and Perks</strong></span></p><ul><li style="font-weight:400;font-size:12pt;"><span style="font-weight:400;font-size:12pt;">Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate! </span></li><li style="font-weight:400;font-size:12pt;"><span style="font-weight:400;font-size:12pt;">Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.</span></li><li style="font-weight:400;font-size:12pt;"><span style="font-weight:400;font-size:12pt;">Rich retirement benefits, including an immediately vested employer safe harbor match.</span></li><li style="font-weight:400;font-size:12pt;"><span style="font-weight:400;font-size:12pt;">Generous paid parental leave with immediate eligibility as well as a phased return to work. </span></li><li style="font-weight:400;font-size:12pt;"><span style="font-weight:400;font-size:12pt;">Flexible vacation policy in addition to 18 paid company holidays.</span></li><li style="font-weight:400;font-size:12pt;"><span style="font-size:12pt;"><span style="font-weight:400;">Total Wellness Program providing numerous resources for overall wellbeing  </span> </span></li></ul></div><div><span style="font-size:12pt;">Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.</span></div></div></div></div></div></div><p><span style="font-size:12pt;"><em><span style="font-weight:400;">Want to learn more about our culture &amp; benefits? Check out our <a href="https://maymobility.com/careers/">website</a>!</span></em></span></p><p><span style="font-size:12pt;"><em><span style="font-weight:400;">May Mobility is an equal opportunity employer.  All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis.   Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary.  Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.</span></em></span></p><p><span style="font-size:12pt;"><strong><em>Note to Recruitment Agencies:</em></strong><em><span style="font-weight:400;"> May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.</span></em></span></p><p><br><br></p></div>

Explore jobs

Get Hired

Discover climate organizations

Join our Fellowship

Post a job

Speak at our Fellowship

Become a Climatebase member

PLATFORMS

MEMBERS

WHO WE ARE