<h2>Joby Overview</h2>Located in Northern California, the team at Joby Aviation is driven by our goal of creating an affordable, all-electric air transportation system. Imagine a piloted air taxi that takes off vertically, then quietly carries you and your fellow passengers over the congested city streets below, enabling you to spend more time with the people and places that matter most. Since 2009, our team has worked steadily to make this dream a reality. We’ve designed and tested many generations of prototype aircraft capable of serving in a network of electric air taxis. We’re looking for talented, committed individuals to join our team as we push onwards toward certifying the Joby aircraft with the Federal Aviation Administration, scaling our manufacturing, and preparing to launch commercial service in 2025.<h2>Overview</h2><p>We're looking for a highly motivated Senior Quality Assurance Engineer to join our Air Taxi Product team. We are seeking an experienced quality engineer who is passionate about building something exciting and new and wants to help make quiet, emissions-free flight an everyday reality. As a senior quality assurance engineer on the air taxi product team you will work closely with product management, design, engineering and flight operations to realize a brand new suite of applications that will power our air taxi services. This is the first QA hire focused on our consumer &amp; operations software. You will have the opportunity to shape best practices and the future of QA on the Air Taxi Team.</p><h2>Responsibilities</h2><ul> <li>Work closely with engineering, product and design to ensure our suite of air taxi products meets the product requirements</li> <li>Identify, reproduce, isolate and report bugs </li> <li>Develop automated testing and conduct hands-on testing for our product suite</li> <li>Conduct user focused testing for new features</li> <li>Create comprehensive QA plans and manage their execution</li> <li>Utilize the simulation capability to test and validate our air taxi services</li> <li>Collaborate with our frontend and backend teams on incorporating key test frameworks into our air taxi product suite</li> <li>Manage project timelines and release schedules</li> <li>Aid in prioritization and communication of issues between customers, product and engineering</li></ul><h2>Required</h2><ul> <li>B.S. or M.S. in Computer Science or related field</li> <li>5+ years of Software QA experience crafting, maintaining and carrying out test plans</li> <li>3+ years of programming experience, preferably in scripting and automated testing</li> <li>Understanding of software development lifecycle, testing methodologies, and testing tools</li> <li>Worked with automation test tools such as Playwright, Selenium, Apium or Cypress</li> <li>Experience crafting test reporting dashboards and reports, enabling seamless status reporting to multi-functional partners</li> <li>Experience identifying automation requirements and crafting solutions to address test execution challenges</li> <li>Experience diagnosing and debugging complex systems</li> <li>Enjoys working in a dynamic environment that is evolving and may be demanding at times</li> <li>Proficient at balancing multiple efforts simultaneously and meeting deadlines</li> <li>Proactive,  take initiatives, and work independently</li> <li>Experience with real time data processing and streaming</li></ul><h2>Desired</h2><ul> <li>Have experience with project management</li> <li>Experience with ticket tracking systems and preferably experience with Linear.</li> <li>Have experience working closely with operations teams</li> <li>Experience handling sensitive customer data and logs</li> <li>Experience with simulation technologies</li> <li>Experience with cloud environments as well as application deployment and scaling technologies such as AWS, Kubernetes, docker, Firebase</li> <li>Ability to maximize efficiency of testing and QA by utilizing the engineers, product managers and designers most effectively</li> <li>Are a pilot or have an interest in aviation and/or new transportation technology</li></ul><p> </p><p>Statistics show that under-represented groups, such as women and other minority groups, don’t apply to a job unless they meet 100% of the required qualifications. At Joby, we encourage you to apply even if you don’t match all requirements. We believe that a successful workplace is diverse, equitable and inclusive. We value all perspectives, we celebrate diversity, and are committed to creating an inclusive environment for all employees. If you are excited about this role, want to reinvent possible and contribute to the Joby mission; – we suggest, please apply anyway.</p><p>Compensation at Joby is a combination of base pay, bonus, and Restricted Stock Units (RSUs). The target base pay for this position is $110,500 - $147,300/yr. The compensation package offered will be determined by location, job-related knowledge, skills, and experience.</p><p> </p><p>Joby also offers a comprehensive benefits package, including paid time off, healthcare benefits, a 401(k) plan with a company match, an employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more.</p><p> </p><h2>Min</h2><h2>Max</h2><h2>EEO</h2><p>Joby is an Equal Opportunity Employer.</p>

Transforming personal mobility with safe, quiet, and affordable electric aircraft for the next generation.

Senior QA Engineer - Air Taxi Product Software

<div><span style="font-size:24px;">About Insight M</span></div><div><br></div><div>At Insight M, we combine innovative aerospace systems with advanced data science. Unlike traditional aerospace companies, we sell information, not hardware - we operate our sensors cost-effectively at continental scale to produce novel data streams about pressing global problems.</div><div> </div><div>First on our list: <a href="https://www.sciencemag.org/news/2018/06/natural-gas-could-warm-planet-much-coal-short-term">spotting hard-to-monitor emissions of methane</a>, a potent greenhouse gas that accelerates climate change. Since starting continuous survey operations in 2018, Insight M has removed methane emissions equal to over 72.6 million tonnes of CO2e through our work. To put that in perspective, that’s equivalent to over 15.8 million cars being removed from the roads or shutting down about forty-seven 350 MW coal-fired power plants for a year.</div><div> </div><div>We call that a good start.</div><div> </div><div>As a team, we love science and engineering, we love getting our hands dirty with hardware and software, and we love seeing our work make a difference in the real world.</div><div> </div><div>We’ve created a diverse, collaborative, supportive, and fun environment based on integrity and treating people right. So no matter your sex, gender, sexual identity, gender identity, race, age, beliefs, sexual orientation, or disabilities, we welcome you and would like to work with you. :-)</div><div> </div><div>It’s never boring, it’s always challenging, and we’re usually laughing.</div><div><br></div><div>A note of encouragement: If you don't meet 100% of the qualifications below, you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the role's requirements.</div><div><br></div><div>If you would like interview accommodations, please contact [interview.accommodations@insightm.com] to request assistance with your application or accommodations in advance of your interview. </div><div><br></div><div><span style="font-size:16pt;">Senior Customer Success Manager</span></div><div><br></div><div><b>NOTE: </b>The application process includes 9 brief questions. These are not filler, actually human reviewed, and part of our evaluation process. We appreciate your time in answering these. It should be brief.</div><div><br></div><div><br></div><div><span style="font-size:11pt;">The Customer Success team touches every piece of the customer experience, from new business interactions to renewals, connecting the dots from contracting through product delivery and beyond. As Kairos continues to build new products and offerings for our oil and gas customers, we also have a need for experienced Customer Success professionals to continue our journey of understanding where we currently are with our customers, where we need to be, and helping implement strategies to solidify and expand our partnerships. This is not an outbound sales position; you will be responsible for implementing the strategic development of renewals and upsells for Kairos’ existing customers. A successful candidate will have experience in account management, with a proven record of increasing revenue through current customer growth. You have seen what a world-class customer renewal process looks like and are ready to dig in and get your hands dirty, working with our sales and your CSM colleagues to first understand our current account management process, our customers’ methane reduction and business needs, and how Kairos’ product offerings weave the two together. You are prepared to form relationships from top to bottom with our existing customers and especially to find ways to move us up in the customer organization. You will help reshape the way Kairos consults with our customers, ultimately paving the way to become trusted partners and advisors for our customers. A  successful candidate will work side-by-side with our Sales and your CSM colleagues to do the work first: running customer report QA for methane detection accuracy and working with our Data Analysis team to resolve any errors and/or make any adjustments after customer feedback. Providing exceptional quality reports for our customers is one of the many ways in which we maintain our reputation as methane program thought leaders who care deeply about customer success in their methane reduction programs. </span></div><br><br><h3>Qualifications</h3><ul><li>Past experience as a CS or AM scaling enterprise business</li><li>At least 3+ years of customer client-facing experience with an existing book of business with defined revenue goals</li><li>High-growth SaaS experience- in a start-up environment a must</li><li>Strong background in a CS or AM that built accounts and kept a gross retention of 90+% and net retention 120+%</li><li>Excellent communication and relationship skills. This job is first and foremost about supporting customers- this demands a high EQ with the humble but strategic advisor blend</li><li>Strong data reporting skill with Google Suite and MS Excel and PowerPoint</li></ul><h3>Desired Skills</h3><ul><li>Familiarity with the upstream or midstream oil and gas industry is a plus</li><li>5+ years of client-facing experience</li></ul><br><div><span style="font-size:24px;">Life at Insight M</span></div><div><br></div><div>A few important facts about working at Insight M:</div><div> </div><div>- We provide health, dental, and vision insurance, including subsidized coverage for dependents. Our 401K plan provides a 50% employer match on employee contributions up to 8%.</div><div> </div><div>- We think death-march hours are a bad way to run a company. We expect something approximating a 40-hour workweek, but mostly we just care that your work gets done. No, really. (Full disclosure: we occasionally put in some extra hours during crunch periods, but that is the exception, not the norm).</div><div> </div><div>- We do not track vacation time, nor do we have set hours to be in the office. Instead, we encourage taking real vacations, mental health days, leaving early to pick up the kids, working from home, time-shifting commutes, staying home when you're sick, ducking out to the gym - we believe work time should be flexible.</div><div> </div><div>During the pandemic we transitioned to 100% remote work aside from hardware, flight operations, operations engineers, or any role that specifically states it is in the office. For most positions, we plan to continue having remote opportunities in perpetuity.</div><div> </div><div>(We love it when kids make a cameo in a video call.)</div><div><br></div><div>Insight M is an equal-opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. </div><div><br></div><div>This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Insight M makes hiring decisions based solely on qualifications, merit, and business needs at the time.</div>

Revolutionizing energy data collection and utilization by transforming raw information into valuable data products for businesses.

Senior Customer Success Manager

<div>Zoox is looking for an experienced leader to lead our Site Reliability Engineering team. Infrastructure is key in building, validating, and running our autonomous driving software, and the team you’ll be running supports it all. </div><div><br></div><div>In this highly impactful role, you will closely work with partners in many teams including the driving AI teams, safety validation, product, data science, QA teams, and more. We have a strong collaborative culture where we value people first.</div><div><br></div><br><br><h3>In this role, you will:</h3><ul><li>Lead and grow the Site Reliability Engineering teams at Zoox, which are responsible for managing the infrastructure powering all our compute, internal tools, and public-facing applications</li><li>Lead the design and implementation of the overall roadmap to improve the scale and reliability of infrastructure at Zoox.</li><li>Collaborate with a variety of teams including driving AI, safety validation, product, data science, and QA teams to identify and deliver impactful solutions.</li><li>Define and lead processes and operations to keep the systems always working.</li><li>Drive the evolution of the SRE support model to scale with the size and complexity of Zoox</li></ul><h3>Qualifications</h3><ul><li>6+ years of management experience, with 2+ years managing managers and teams of 25-50+</li><li>10+ years of related technically demanding experience: cloud infrastructure, microservices, or data engineering.</li><li>Demonstrated ability to scale infrastructure to meet rapidly growing demand.</li><li>Excellent communication skills and the ability to lead across teams.</li><li>Bachelor's degree in Computer Science, or equivalent practical experience.</li></ul><h3>Bonus Qualifications</h3><ul><li>Strong infrastructure mindset, with hands-on experience developing tools and platforms for engineers.</li></ul><br><div>Compensation</div><div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $234,000 to $415,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.</div><div> </div><div>Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div><div><br></div><div><b>About Zoox</b></div><div>Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div><br></div><div><a href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br></div><div><b>Accommodations</b></div><div>If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div><br></div><div><b>A Final Note:</b></div><div>You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</div>

Transforming urban transportation with fully electric autonomous vehicles, challenging car ownership and reducing congestion.

Senior Engineering Manager, Site Reliability Engineering

<div>Autonomous vehicles have some of the largest, most complex software ever shipped in a safety-critical environment. Solving that problem is one of the most exciting technical challenges of our lifetime, and the release manager role is critical for our success. </div><div><br></div><div>As a Senior Release Manager at Zoox, you will play a critical role in our software delivery by driving process improvements to release Zoox's vehicle software regularly, reliably, and with high quality. You will work cross-functionally with other teams as a force multiplier to improve their development process from idea to implementation to testing to deployment. This is a critical role to squash inefficiencies in our development process, improve the development experience for everyone in the software organization, and ultimately bring our autonomous vehicles to market sooner.</div><div><br></div><br><br><h3>In this role, you will:</h3><ul><li>Work with all stakeholders in Engineering, QA, and vehicle operations to assemble cross-organizational project teams, tracking progress and delivering towards release milestones</li><li>Track results of all required tests, analyze release blockers, conduct release meetings, and communicate release status. Resolve issues when they appear and raise red flags when needed</li><li>Continually evaluate &amp; improve the release effort by improving processes, removing inefficiencies, and automating manual steps</li><li>Create metrics and dashboards to facilitate a data-driven approach to process improvement</li><li>Support and improve tools for automated testing and release management</li><li>Proactively engage with cross-functional teams to resolve issues and design solutions using critical thinking, analysis skills, and best practices</li><li>Pre-emptively see downstream consequences and effectively tailor influencing strategy to support a positive outcome</li></ul><h3>Qualifications</h3><ul><li>STEM Bachelor's or Master’s degree or equivalent experience</li><li>8+ years of experience as a Release Manager or software project leader </li><li>Experience driving large process improvement and/or automation projects and programs</li><li>Experience in defining release readiness criteria and risk assessment, ensuring all changes meet criteria before deployment</li><li>Ability to self-manage, self-start, lead technically, and communicate effectively</li></ul><h3>Bonus Qualifications</h3><ul><li>Experience with CI build systems and ability to triage failures</li><li>Broad understanding of programming structure (makefiles, headers, code) and compilation process </li></ul><br><div><b>Compensation</b></div><div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $185,000 to $232,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.</div><div> </div><div>Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div><div><br></div><div><br></div><div><b>About Zoox</b></div><div>Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div><br></div><div><a href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br></div><div><b>Accommodations</b></div><div>If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div><br></div><div><b>A Final Note:</b></div><div>You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</div>

Senior Release Manager

<div><span style="font-size:11pt;">Simulation is key to ensuring the safety of autonomous vehicles at Zoox. In this critical role, you will ensure Zoox’s simulation framework is a trustable platform for AI driving software validation, by analyzing the accuracy and realism of the simulator, and how effective the sim platform is at predicting real-world driving performance. You will work cross-functionally with our AI/autonomy teams, systems engineering and safety analysis teams, QA teams, and more, to measure and guide improvements to our simulation platform.</span></div><br><br><h3>Responsibilities</h3><ul><li>You will derive requirements and perform system verification/validation for simulation frameworks and tools.</li><li>You will drive planning and execution by decomposing system needs into projects, tools, and/or features that deliver incremental value to teams and customers.</li><li>You will build metrics and tools which measure and continuously monitor simulation validity in alignment with company objectives.</li><li>You will lead analyses of tools/frameworks and communicate results across stakeholders, driving continuous improvement to software components.</li><li>You will collaborate with Engineering Managers to ensure design, implementation, and programs are on track, and regularly drive consensus among diverse partners on technical projects.</li><li>You will develop clear proposals and design documents for large-scope or multi-functional initiatives.</li><li>You will design and build statistically-sound analyses, sampling methods, validation criteria, and development processes for building highly relevant datasets for evaluation applications.</li><li>You will build tools to mine large-scale logs and simulated data for the most interesting situations.</li><li>Your typical workload: 30% validation strategy 30% coding, 40% dataset development and statistical analysis. </li></ul><h3>Qualifications</h3><ul><li>8+ years of experience in decomposing and analyzing large, complex systems.</li><li>Experience in systems engineering, requirements authoring, system analysis, and validation/testing.</li><li>Experience developing, specifying, and/or validating simulation-based testing technologies for autonomous, robotics, or other complex integrated systems.</li><li>Fluent in data-based and analytical engineering problem-solving practices, including using paretos and root cause analysis.</li><li>Databricks, Jupyter Notebooks experience.</li><li>Proficient with Python, SQL, or similar for analysis of large datasets.</li><li>BS, MS, or Ph.D. in Computer Science, Mechanical Engineering, Robotics, or equivalent experience</li></ul><br><div><b>Compensation</b></div><div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $193,000 to $328,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  </div><div><br></div><div>Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div><div><br></div><div><b>About Zoox</b></div><div>Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div><br></div><div><a href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br></div><div><b>Accommodations</b></div><div>If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div><br></div><div><b>A Final Note:</b></div><div>You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</div>

Senior/Staff Systems Engineer - Simulation Verification & Validation

<div><span style="font-size:11pt;">Simulation is key to ensuring the safety of autonomous vehicles at Zoox. In this critical role, you will ensure Zoox’s simulation framework is a trustable platform for AI driving software validation, by analyzing the accuracy and realism of the simulator, and how effective the sim platform is at predicting real-world driving performance. You will work cross-functionally with our AI/autonomy teams, systems engineering and safety analysis teams, QA teams, and more, to measure and guide improvements to our simulation platform.</span></div><br><br><h3>Responsibilities</h3><ul><li>Derive requirements and perform system verification/validation for simulation frameworks and tools.</li><li>Drive planning and execution by decomposing system needs into projects, tools, and/or features that deliver incremental value to teams and customers.</li><li>Build metrics and tools which measure and continuously monitor simulation validity in alignment with company objectives.</li><li>Lead analyses of tools/frameworks and communicate results across stakeholders, driving continuous improvement to software components.</li><li>Collaborate with Engineering Managers to ensure design, implementation, and programs are on track, and regularly drive consensus among diverse partners on technical projects.</li><li>Develop clear proposals and design documents for large-scope or multi-functional initiatives.</li><li>Design and build statistically-sound analyses, sampling methods, validation criteria, and development processes for building highly relevant datasets for evaluation applications.</li><li>Build tools to mine large-scale logs and simulated data for the most interesting situations.</li><li>Typical workload: 30% validation strategy 30% coding, 40% dataset development and statistical analysis. </li></ul><h3>Qualifications</h3><ul><li>8+ years of experience in decomposing and analyzing large, complex systems.</li><li>Experience in systems engineering, requirements authoring, system analysis, and validation/testing.</li><li>Experience developing, specifying, and/or validating simulation-based testing technologies for autonomous, robotics, or other complex integrated systems.</li><li>Fluent in data-based and analytical engineering problem-solving practices, including using paretos and root cause analysis.</li><li>Excellent critical and analytical thinking skills: you can interpret what the data tells us and which analyses will reveal impactful conclusions.</li><li>Databricks, Jupyter Notebooks experience.</li><li>Proficient with Python, SQL, or similar for analysis of large datasets.</li><li>Clear track record of effective collaboration with data scientists, machine learning engineers, and platform teams, driving continuous delivery of quality results.</li><li>Comfortable working in a fast-paced environment and operating under ambiguity.</li><li>Strong communication skills and experience addressing diverse audiences.</li><li>BS, MS, or Ph.D. in Computer Science, Mechanical Engineering, Robotics, or equivalent experience</li><div><br></div></ul><br><div><b>Compensation</b></div><div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $203,000 to $345,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  </div><div><br></div><div>Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div><div><br></div><div><b>About Zoox</b></div><div>Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div><br></div><div><a href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br></div><div><b>Accommodations</b></div><div>If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div><br></div><div><b>A Final Note:</b></div><div>You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</div>

<div><span style="font-size:11pt;">The Collision Avoidance System (CAS) is responsible for detecting and reacting to imminent collision situations in support of our vehicle’s overall safety goals. CAS Perception is responsible for processing raw sensor data from our vehicle’s world-class sensor suite using a combination of geometric, interpretable algorithms and deep learning to detect near-collisions with obstacles along our intended driving path, in the most challenging dense urban environments and under tight compute resource constraints. Overall, CAS is parallel and complementary to our Main Artificial Intelligence (AI) autonomy stack, and has a close relationship with our vehicle hardware and safety teams in order to architect redundancy into our overall driving system.</span></div><br><br><h3>Responsibilities</h3><ul><li>You will lead a team of deep learning engineers leveraging technical and managerial skills to deliver high-impact results</li><li>You will set the short and long term technical direction for the team and collaborate on the broader company-wide directions</li><li>You will coordinate cross-functional initiatives with other teams across CAS, Systems Engineering, QA, and more</li><li>You will develop new algorithms that consume raw sensor data input to detect dynamic entities in the world</li><li>You will leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field</li><li>You will engineer software that runs on-vehicle to efficiently execute our algorithms in real time</li><li>You will develop metrics and tools to analyze errors and understand improvements of our systems</li><li>You will collaborate with engineers on the other parts of CAS Perception, CAS Verification &amp; Validation, CAS Planner, and the Main AI teams to solve the overall Autonomous Driving problem in complex urban environments</li></ul><h3>Qualifications</h3><ul><li>BS, MS, or PhD degree in computer science or related field</li><li>Experience with training and deploying Deep Learning models</li><li>Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines</li><li>Fluency in C++</li><li>Extensive experience with programming and algorithm design</li><li>Strong mathematics skills</li><li>8+ years of experience in a related field</li></ul><h3>Bonus Qualifications</h3><ul><li>Conference or Journal publications in Machine Learning or Robotics related venues</li><li>Prior experience with Prediction and/or autonomous vehicles in general</li><li>Fluency in Python</li></ul><br><div><b>Compensation</b></div><div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $221,000 - $319,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  </div><div><br></div><div>Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div><div><br></div><div><b>About Zoox</b></div><div>Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div><br></div><div><a href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br></div><div><b>Accommodations</b></div><div>If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div><br></div><div><b>A Final Note:</b></div><div>You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</div>

Senior Machine Learning Engineer - Collision Avoidance System

<div><span style="font-size:24px;">About Insight M</span></div><div><br></div><div>At Insight M, we combine innovative aerospace systems with advanced data science. Unlike traditional aerospace companies, we sell information, not hardware - we operate our sensors cost-effectively at continental scale to produce novel data streams about pressing global problems.</div><div> </div><div>First on our list: <a href="https://www.sciencemag.org/news/2018/06/natural-gas-could-warm-planet-much-coal-short-term">spotting hard-to-monitor emissions of methane</a>, a potent greenhouse gas that accelerates climate change. Since starting continuous survey operations in 2018, Insight M has removed methane emissions equal to over 72.6 million tonnes of CO2e through our work. To put that in perspective, that’s equivalent to over 15.8 million cars being removed from the roads or shutting down about forty-seven 350 MW coal-fired power plants for a year.</div><div> </div><div>We call that a good start.</div><div> </div><div>As a team, we love science and engineering, we love getting our hands dirty with hardware and software, and we love seeing our work make a difference in the real world.</div><div> </div><div>We’ve created a diverse, collaborative, supportive, and fun environment based on integrity and treating people right. So no matter your sex, gender, sexual identity, gender identity, race, age, beliefs, sexual orientation, or disabilities, we welcome you and would like to work with you. :-)</div><div> </div><div>It’s never boring, it’s always challenging, and we’re usually laughing.</div><div><br></div><div>A note of encouragement: If you don't meet 100% of the qualifications below, you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the role's requirements.</div><div><br></div><div>If you would like interview accommodations, please contact [interview.accommodations@insightm.com] to request assistance with your application or accommodations in advance of your interview. </div><div><br></div><div><span style="font-size:24px;">General Opportunity</span></div><div><br></div><div>Although we may not have a current open position that matches your skill set, we are a growing company with lots of future employment opportunities. If Insight M has piqued your interest, please send us your resume and fill out our application questions.</div><br><br><h3>The typical roles we hire for include:</h3><ul><li>Software Engineers (FE, BE, Full-stack, Design, GIS, Data-focused, Build)</li><li>QA</li><li>Hardware Engineers</li><li>Hardware Technicians</li><li>Flight Systems Software Engineers</li><li>Senior Scientists </li><li>Data Scientists</li><li>Sensor Scientists and Engineers </li><li>Customer Success Managers</li><li>Flight Operations Support Managers</li><li>Operations Engineers</li><li>Data Analysts</li><li>GIS Analysts</li><li>ESG Analysts</li><div><br></div><div>Our stack: Python, SQLAlchemy, a little Bash, JavaScript/React, AWS (S3, EC2), PostGIS. The infrastructure and cloud orchestration pipeline uses Terraform, Apache Airflow, and Astronomer. We use Data Factory for data integration/transformation. In terms of DevOps, we do infrastructure as code. CI/CD: Ansible, CircleCI, Github, Artifactory, and various pieces in AWS.</div></ul><h3>These are the typical qualities we look for in a team member:</h3><ul><li>Positivity and the ability to work with a diverse team</li><li>Open, inquisitive, and collaborative mindset</li><li>Comfort in a start-up culture where you need to move quickly and be comfortable with pivots</li><li>Ability to figure out and produce expertise on your own; ability and interest in quickly learning new tasks</li><li>Conscientious and detail-oriented perspective</li><li>Excellent communication and relationship skills</li><li>Creative problem solving</li></ul><br><div><span style="font-size:24px;">Life at Insight M</span></div><div><br></div><div>A few important facts about working at Insight M:</div><div> </div><div>- We provide health, dental, and vision insurance, including subsidized coverage for dependents. Our 401K plan provides a 50% employer match on employee contributions up to 8%.</div><div> </div><div>- We think death-march hours are a bad way to run a company. We expect something approximating a 40-hour workweek, but mostly we just care that your work gets done. No, really. (Full disclosure: we occasionally put in some extra hours during crunch periods, but that is the exception, not the norm).</div><div> </div><div>- We do not track vacation time, nor do we have set hours to be in the office. Instead, we encourage taking real vacations, mental health days, leaving early to pick up the kids, working from home, time-shifting commutes, staying home when you're sick, ducking out to the gym - we believe work time should be flexible.</div><div> </div><div>During the pandemic we transitioned to 100% remote work aside from hardware, flight operations, operations engineers, or any role that specifically states it is in the office. For most positions, we plan to continue having remote opportunities in perpetuity.</div><div> </div><div>(We love it when kids make a cameo in a video call.)</div><div><br></div><div>Insight M is an equal-opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. </div><div><br></div><div>This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Insight M makes hiring decisions based solely on qualifications, merit, and business needs at the time.</div>

General Opportunity

<div><div><span style="text-decoration:underline;"><strong>Join us on the journey to get to net zero</strong></span></div><div> </div><div>At Carbon Direct, we dedicate our scientific, software, and business expertise to empower organizations around the world to take climate action.</div><div> </div><div><strong>Our Mission</strong></div><div>Enable organizations to reduce, remove, and utilize their emissions with carbon science</div><div>We are a purpose-driven carbon management firm dedicated to helping organizations around the world reach their climate goals. We make carbon science accessible and actionable with our end-to-end platform.</div><div> </div><div>Global citizens with global impact</div><div>Whether a scientist, developer, or carbon markets expert, we are united by our mission to take climate action now. We are experts in our fields and we act with confidence. Located across 4 countries and 10+ states in the U.S., we offer both remote-friendly work options and dynamic, in-person experiences with offices located in Seattle, WA and Oakland, CA.</div><div> </div><div>Diverse backgrounds bring diverse perspectives</div><div>We recognize that teams with diverse backgrounds and different experiences are powerful. Bringing together a variety of perspectives only enhances how we can effectively address the climate crisis. Together, we are creating an environment where everyone is celebrated and anyone can succeed.</div><div> </div><div><p><strong>About Carbon Direct</strong></p><p>Carbon Direct is a science-first organization that combines technology with deep expertise in climate science, data, and policy to deliver actionable climate strategies, and high-quality carbon dioxide removal to decarbonize the global economy. We have built a reputation as a trusted arbiter of high-quality strategy for carbon reduction, removal, and utilization throughout value chains, working with leading organizations. Our team of over 40 scientists includes thought leaders who actively contribute to the science of climate mitigation with novel assessment methodologies and public resources to facilitate action. </p><p>With Carbon Direct, clients can set and equitably deliver on their climate commitments, streamline compliance, and manage risk through transparency and scientific credibility. Carbon Direct has applied its expertise to the completion of: </p><ul><li>Over 600 engineered, hybrid, and nature-based carbon credit project assessments, deep diligences for multi-year off-take agreements, and project co-design engagements.</li><li>Over 150 unique emerging technology diligence reviews. </li><li>Deep technical diligence de-risking engagements in improved forest management, reforestation, BECCS, and DAC, with commercial strategy support in collaboration with carbon credit developers to ensure that their products are best-in-class. </li></ul><p><strong>Overview of the Opportunity</strong></p><p>Carbon Direct receives many client requests to diligence carbon projects. We are looking to bring on additional contractors to assist with project reviews. These cover a wide range of carbon dioxide removal and reduction technologies and would be appropriate for advanced graduate students (Masters or PhD level) in climate science fields (e.g., forestry, engineering, chemistry, environmental science, ecology) who are interested in gaining work experience. </p><p>A review is generally a short report that follows a set template and examines the project proposal in the context of six quality criteria. Work is conducted with the oversight of a Carbon Direct senior scientist and subject to rigorous QA/QC. We operate a deliverable-based payment schedule based on the anticipated length and complexity of each assigned review.</p></div></div><div><div>Equal Opportunity Employer</div><div> </div><div>Carbon Direct is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria. We adhere rigorously to our equal employment opportunity policies in connection with all employment decisions, including hiring, compensation and promotion.</div></div>

Carbon Direct is decarbonizing the global economy. 

Scientific Project Reviewers

<div><b>About Zoox</b></div><div>Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div><br></div><div>Zoox is looking for a data platform software engineer to help build out the infrastructure, services, and tools that manage our pipeline of vehicle data. This pipeline is central to development and reporting workflows across all of our software teams. Your team also owns the custom data format used to write, store, and access the majority of vehicle data, including sensor data, hardware signals, message bus logs, and more. This role will have end-to-end responsibility for capturing, validating, storing, querying, and serving this data.</div><br><br><h3>In this role, you will:</h3><ul><li>Develop highly scalable data processing pipelines to ingest and index various types of vehicle and simulation data</li><li>Work with teams across Zoox including our AI, firmware, QA, infrastructure, IT, data science, and release management teams to understand the nature of data flowing through our system and the processing, storage, and access requirements for that data</li><li>Design, develop, and own services and web apps to provide efficient access to different kinds of vehicle data, including sensor data, encoded hardware signals, message logs, and more</li><li>Develop and maintain libraries shared across the software organization used to write and access files and vehicle data</li><li>Work with senior team members to explore new technologies and tackle challenges like enforcing data access restrictions and scaling the platform to support 10’s of petabytes of data and 100’s of millions of data access requests each day</li></ul><h3>Qualifications</h3><ul><li>Bachelor's degree in computer science (or related field) or equivalent practical experience</li><li>Fluency in Python, C/C++, Javascript or Typescript</li><li>Practical experience with one or more relational or NoSQL databases</li><li>The ability to ramp up quickly on unfamiliar codebases and technologies</li></ul><h3>Bonus Qualifications</h3><ul><li>Master's/PhD in computer science (or related field)</li><li>Experience building high-throughput data processing pipelines</li><li>Experience building microservices</li><li>Experience with distributed compute technologies like Spark or Databricks</li><li>Familiarity with a development framework like React or <a href="http://Vue.js">Vue.js</a></li></ul><br><div><b>Compensation</b></div><div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $127,000 to $201,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.</div><div> </div><div>Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div><div><br></div><div><b><span style="font-size:11pt;">Equal Opportunity Employer</span></b></div><div><span style="font-size:10.5pt;">Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, or national origin</span><span style="font-size:10pt;">.</span></div><div><br></div><div><br></div><div><b>About Zoox</b></div><div>Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div><br></div><div><a href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br></div><div><b>Accommodations</b></div><div>If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div><br></div><div><b>A Final Note:</b></div><div>You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</div>

Robot Data Platform, Software Engineer

Build the Market Leader in Satellite Analytics with us at LiveEO<br>                                At LiveEO, we combine Space Technology with AI to solve problems here on Earth. Our satellite-based monitoring solutions help Infrastructure operators and industrial companies to make their operations more ecological, safer, and more efficient. We are a rapidly growing, venture capital-backed company at the forefront of an emerging industry. Our team is as global as the satellite data we process and the customers we serve - together, we are building something big.                            Your challenge<br>                                <ul><li>Design, implement, and maintain efficient, reliable data pipelines to process and distribute large volumes of satellite imagery and related data.</li><li>Employ event-based computing and serverless architectures using to ensure scalable and responsive data processing.</li><li>Work with management engines such as Airflow or Prefect to orchestrate and automate data workflows.</li><li>Manage and optimize relational databases, ensuring data integrity and performance (experience with PostgreSQL, Snowflake preferred).</li><li>Collaborate with cross-functional teams to identify and implement data processing and automation solutions that enhance our product offerings.</li><li>Drive continuous improvement initiatives in data infrastructure and automation, ensuring best practices in DevOps and infrastructure management.</li><li>Become a key expert for Data Engineering and Automation best practices in the company.</li><li>Refactor, redesign, rebuild existing services.</li><li>Align with other software, data, machine learning and infrastructure experts in the company and influence the evolution of our tech stack.</li><li>Mentor more junior and software engineers and review their MRs.</li></ul>                            Your profile<br>                                <ul><li>Experience with Python or another major programming language, with a strong emphasis on writing clean, efficient, and maintainable code.</li><li>Solid experience in designing, automating, implementing, and maintaining ETL pipelines.</li><li>Hands-on experience with services for event-based computing and serverless architectures.</li><li>Familiarity with workflow management engines like Airflow or Prefect to manage data workflows efficiently.</li><li>Knowledge of parallel computing, including concurrent programming and performance optimization, to handle high-volume data processing tasks.</li><li>Experience in QA automation, preferably with tools like Great Expectation, to ensure the quality and reliability of data pipelines.</li><li>Experience in processing and analyzing image data, particularly satellite imagery.</li><li>Familiarity with geospatial data processing tools and techniques, such as PostGIS and Cloud Optimized GeoTIFFs (COGs).</li><li>Proficiency in Kubernetes for container orchestration and Kafka or Apache Spark for real-time data processing and streaming</li><li>Proficiency in managing relational databases (e.g., PostgreSQL, Snowflake), with a strong understanding of database design and query optimization.</li></ul>                            Your Benefits<br>                                <ul><li>The opportunity to create a product that can improve business processes and lives across the globe.</li><li>Flexible working hours and hybrid work model - we trust our employees to get their work done while maintaining a healthy work-life balance</li><li>We empower employees to drive their own career development, take initiative and have the freedom to be creative and bold</li><li>Not an overtime culture - we take care that overtime is done only as a necessity and always offset with time off and rest</li><li>Variety of team building opportunities - from jogging groups, team sports, bouldering and picnics </li><li>A collaborative and learning environment - frequent internal workshops, knowledge sharing sessions, journal clubs and hackathons </li><li>Potential to participate in the employee stock option program.</li><li>Office located in the center of Berlin Kreuzberg </li><li>BVG subsidy </li></ul>                            

Revolutionize asset monitoring at a global scale through leading-edge earth observation technologies.

Senior Software Engineer - Data and Automation (f/m/x)

<div><span style="font-size:12pt;">The Software Hardware in the Loop (HIL) team at Zoox is responsible for designing, building, and supporting integration test assets that are an essential part of the verification and validation strategy for the AI systems and are a critical component of Zoox's CI pipeline. This position focuses on the testing framework that provides test developers across Zoox's software organization with the ability to create testing content targeted for our team's hardware test platforms. As a senior developer, you will take on a breadth of end-to-end responsibilities related to the development and support of this framework.</span></div><br><br><h3>In this role, you will:</h3><ul><li>Design and implement our test automation framework used for integration and subsystem integration testing by teams across Zoox.</li><li>Collaborate with framework users, providing documentation, training, and support while coordinating contributions and gathering feedback.</li><li>Work with QA, CI, and Infrastructure teams to ensure that the framework is well integrated into Zoox tools and flows and seek ways to improve its benefit.</li><li>Collaborate on other projects related to building and maintaining our integration test platforms to build your overall understanding of the system and explore opportunities to improve our validation process.</li><div><br></div></ul><h3>Qualifications </h3><ul><li>Bachelor's or Master's degree in Computer Science, or a related field, with 7+ years of relevant experience</li><li>Proficiency with Python or other managed language</li><li>Experience working in a multi-developer environment on large code bases, performing code reviews, and establishing coding standards</li><li>Understanding of the software life cycle and common software design principles</li><li>Experience as a test framework developer, including general test framework design and CI/CD integration</li><div><br></div></ul><h3>Bonus Qualifications</h3><ul><li>Solid understanding of Pytest or similar unit testing framework architecture</li><li>Proficiency in full-stack or front-end development</li><li>Familiarity with verification &amp; validation strategy, hardware/software integration experience, or strong system-level debugging ability</li><div><br></div></ul><br><div><b>Compensation</b></div><div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $175,000 to $237,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.</div><div> </div><div>Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div><div><br></div><div><b>About Zoox</b></div><div>Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div><br></div><div><a href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br></div><div><b>Accommodations</b></div><div>If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div><br></div><div><b>A Final Note:</b></div><div>You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</div>

Senior Software Engineer - Test Framework & Tooling

<div>The Perception team at Zoox is responsible for developing the eyes and ears of our self driving car. Navigating safely and competently in the world requires us to detect, classify, track and understand several different attributes of all the objects around us that we might interact with, all in real time and with very high precision. </div><div><br></div><div>As a member of the Perception team at Zoox, you will be responsible for developing and improving state of the art machine learning techniques for doing everything from 2D/3D object detection, panoptic segmentation, tracking, to attribute classification. You will be working not just with our team of talented engineers and researchers in perception, but cross functionally with several teams including sensors, prediction and planning, and you will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms.</div><br><br><h3>Responsibilities</h3><ul><li>You will lead a team of ML engineers on the Perception team, leveraging technical and managerial skills to deliver high-impact results</li><li>You will set the short and long term technical direction for the team and collaborate on the broader company-wide directions</li><li>You will grow the team through hiring and guide the continued professional development of team members</li><li>You will collaborate with engineers on the other parts of Perception, including Verification &amp; Validation, Optimization, Labeling tools, as well as Prediction and Planner to solve the overall Autonomous Driving problem in complex urban environments</li><li>You will coordinate cross-functional initiatives with other teams across Data Science, Systems Design and Mission Assurance, QA, and more</li></ul><h3>Qualifications</h3><ul><li>MS, or PhD degree in computer science or related field</li><li>Experience with training and deploying Deep Learning models</li><li>Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines</li><li>Extensive experience with programming and algorithm design</li><li>Strong mathematics skills</li><li>Experience with ML Python libraries like PyTorch, TensorFlow, NumPy, Pandas, etc.</li></ul><h3>Bonus Qualifications</h3><ul><li>Fluency in C++ and python</li><li>Publications in your field (CVPR, ICCV, RSS, ICRA preferred)</li><li>Experience with autonomous robots</li><li>Experience with realtime sensor fusion (e.g. LiDAR, camera, radar)</li><li>Experience with 3D data and representations (pointclouds, meshes, etc.</li><li>Experience with nonlinear non Gaussian multi hypotheses tracking</li><li>Experience with probabilistic representations of neural networks output</li><li>Experience with novel pipelines and architectures for convolutional neural nets </li><li>Experience with weighted nonlinear least square estimation like GTSAM</li></ul><br><div>Compensation</div><div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $221,000-$319,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  </div><div><br></div><div>Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div><div><br></div><div><b>About Zoox</b></div><div>Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div><br></div><div><a href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br></div><div><b>Accommodations</b></div><div>If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div><br></div><div><b>A Final Note:</b></div><div>You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</div>

Manager, Perception

<div>The Collision Avoidance System (CAS) is responsible for detecting and reacting to imminent collision situations in support of our vehicle’s overall safety goals. CAS Perception is responsible for processing raw sensor data from our vehicle’s world-class sensor suite using a combination of geometric, interpretable algorithms and deep learning to detect near-collisions with obstacles along our intended driving path, in the most challenging dense urban environments and under tight compute resource constraints. Overall CAS is parallel and complementary to our Main AI autonomy stack and has a close relationship with our vehicle hardware and safety teams to architect redundancy into our overall driving system.</div><div><br></div><div>As the Manager, Data Science for CAS (CAS Verification and Validation) at Zoox, you will spearhead a multifaceted team comprising engineers, data scientists, and statisticians, focusing on the critical task of assessing the Collision Avoidance System (CAS). This system is essential for detecting and mitigating imminent collisions, through partnering with Zoox's autonomy software teams. Your role involves defining and building metrics to gauge CAS performance, emphasizing its operation in dense urban settings. You will collaborate extensively with System Engineers and QA teams to formulate comprehensive validation plans, ensuring CAS's efficacy and integration within Zoox's broader safety objectives.</div><br><br><h3>Responsibilities</h3><ul><li>You will set the short and long-term technical direction for the team and collaborate on the broader company-wide directions </li><li>You will coordinate cross-functional initiatives with other teams across CAS Perception Algorithms, Systems Engineering, QA, and more</li><li>You will grow the team through hiring and guide the continued professional development of team members</li><li>You will collaborate with engineers on the other parts of CAS Perception, CAS Planner, and the Main AI teams to solve the overall Autonomous Driving problem in complex urban environments</li></ul><h3>Qualifications</h3><ul><li>B.S. or higher degree in an Engineering or Science discipline with a strong focus on Mathematics, Statistics, Probability Theory, or Data Science</li><li>8+ years of relevant professional work experience and at least 2 years of leading teams of 5+ engineers</li><li>Fluency in Python</li><li>Proficiency in quantitative analysis/modeling tools</li><li>Sound statistical inference skills, with the ability to communicate uncertainty appropriately to engineering and business stakeholders</li></ul><h3>Bonus Qualifications</h3><ul><li>Advanced Degree in Computer Science</li><li>Experience with production metrics pipelines</li><li>Experience with manual or automatic labeling pipelines</li><li>Experience with analysis of latency for safety-critical software systems</li><li>Experience with petabyte-scale distributed computing (Spark, Databricks, generic MapReduce pipelines)</li><li>Background in Bayesian statistics</li><li>Proficient with Scala / R / SQL</li><li>Prior experience with autonomous vehicles in general</li><li>Strong mathematics skills</li></ul><br><div><b>Compensation</b></div><div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $203,000 to $319,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  </div><div><br></div><div>Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div><div><br></div><div><b>About Zoox</b></div><div>Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div><br></div><div><a href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br></div><div><b>Accommodations</b></div><div>If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div><br></div><div><b>A Final Note:</b></div><div>You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</div>

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