<div><p><span style="font-weight:400;">We're Cruise, a self-driving service designed for the cities we love.</span></p><p><span style="font-weight:400;">We’re building the world’s most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.</span></p><p><span style="font-weight:400;">In our cars, you’re free to be yourself. It’s the same here at Cruise. We’re creating a culture that values the experiences and contributions of all of the unique individuals who collectively make up Cruise, so that every employee can do their best work. </span></p><p><span style="font-weight:400;">Cruise is committed to building a diverse, equitable, and inclusive environment, both in our workplace and in our products. If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving cars, come join us. Even if you might not meet every requirement, we strongly encourage you to apply. You might just be the right candidate for us. </span></p></div><p>The Staff Machine Learning Engineer is a versatile role that drives a wide spectrum of applied ML research and development to overcome challenges on urban roads related to Perception and Object Tracking. The Tracking team is responsible for outputting a list of all the people, bikes, vehicles, and obstacles near the Cruise car, as well as a complete description of each agent. On a day-to-day basis, you will:</p><ul><li>Explore, prototype, validate, and iterate new algorithms and strategies</li><li>Drive efforts to optimize, supervise and refine on-road performance for models in production</li><li>Be considered one of the technical leaders of the department who guides current and future technology choices</li><li>Have a deep understanding of the business and operational impact for different technology tradeoffs, and be able to balance effectively based on the company’s need</li><li>Enable other engineers on the team to be more effective through design and code that is easy to extend and contribute into</li><li>Be capable of influencing others and building consensus even over contentious technical debates</li></ul><h1><b>What you must have:</b></h1><ul><li>PhD / MS degree in computer vision, machine learning or a related field; alternatively equivalent years of industry experience solving ML problems which do not have readily-available solutions</li><li>Track record of driving applied deep learning projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization</li><li>Track record of cross organization impact</li><li>Strong programming skills in Python and/or C++</li><li>Extensive experience with ML frameworks such as Tensorflow, Caffe, or PyTorch</li><li>Excellent mathematical and physical reasoning skills, especially with probability</li><li>Strong verbal and written communication skills</li><li>Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible allowing for changes over time without major disruptions.</li><li>Ability to design across multiple systems. Ability to both investigate in sophisticated areas as well as a good breadth of understanding of systems outside of your domain.</li><li>Ability to wear several hats shifting between coding, design, technical strategy, and mentorship combined with excellent judgment on when to switch contexts to meet the greatest need.</li></ul><h1><b>Bonus points!</b></h1><ul><li>PhD in machine learning, computer vision, or robotics</li><li>Experience in deploying perception algorithms and models into real-world environments</li><li>Experience with object tracking, especially multi-sensor and/or multi-object tracking</li></ul><p></p><p>The salary range for this position is <span>$183,600 - 270,000</span>. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, long-term incentives, and benefits. These ranges are subject to change.</p><div><h1><strong>Why Cruise?</strong></h1><p><strong>Our benefits are here to support the whole you:</strong></p><ul><li>Competitive salary and benefits </li><li>Medical / dental / vision, Life and AD&amp;D</li><li>Subsidized mental health benefits</li><li>Paid time off and holidays</li><li>Paid parental, medical, family care, and military leave of absence</li><li>401(k) Cruise matching program </li><li>Fertility benefits</li><li>Dependent Care Flexible Spending Account</li><li>Flexible Spending Account &amp; Health Saving Account</li><li>Perks Wallet program for benefits/perks</li><li>Pre-tax Commuter benefit plan for local employees</li><li>CruiseFlex, our location-flexible work policy. (<a href="https://getcruise.com/news/blog/2022/cruiseflex-our-approach-to-flexible-work/">Learn more about CruiseFlex)</a>.</li></ul><h1><strong>We’re Integrated</strong></h1><ul><li>Through our partnerships with General Motors and Honda, we are the only self-driving company with fully integrated manufacturing at scale.</li></ul><h1><strong>We’re Funded</strong></h1><ul><li>GM, Honda, Microsoft, T. Rowe Price, and Walmart have invested billions in Cruise. Their backing for our technology demonstrates their confidence in our progress, team, and vision and makes us one of the leading autonomous vehicle organizations in the industry. Our deep resources greatly accelerate our operating speed.</li></ul><p><em>Cruise LLC is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do the best work of their lives. We seek applicants of all backgrounds and identities, across race, color, caste, ethnicity, national origin or ancestry, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Cruise will consider for employment qualified applicants with arrest and conviction records, in accordance with applicable laws.</em></p><p><em>Cruise is committed to the full inclusion of all applicants. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know or email </em><em>HR@getcruise.com</em><em>.</em></p><p><em>We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. To help us track the effectiveness and inclusivity of our recruiting efforts, please consider answering the following demographic questions. Answering these questions is entirely voluntary. Your answers to these questions will not be shared with the hiring decision makers and will not impact the hiring decision in any way. Instead, Cruise will use this information not only to comply with any government reporting obligations but also to track our progress toward meeting our diversity, equity, inclusion, and belonging objectives.</em></p><p><strong><em>Candidates applying for roles that operate and remotely operate the AV:</em></strong><em> Licensed to drive a motor vehicle in the U.S. for the three years immediately preceding your application, currently holding an active in-state regular driver’s license or equivalent, and no more than one point on driving record. A successful completion of a background check, drug screen and DMV Motor Vehicle Record check is also required.</em></p><p><strong><em>Note to Recruitment Agencies:</em></strong><em> Cruise does not accept unsolicited agency resumes. Furthermore, Cruise does not pay placement fees for candidates submitted by any agency other than its approved partners. </em></p></div>

Building advanced self-driving electric vehicles to safely connect people with places and experiences they care about.

Staff Machine Learning Engineer, Tracking

<h2>The Role</h2><p>We aim to establish the Span panel as the center of home energy and the backbone of the renewable distributed grid. Analytics and ML are essential tools to develop features for the smart, green, energy-efficient home of the future. Span’s unique ability to monitor and control individual circuits opens up a new avenue for proactive whole-home management and equipment failure detection. As Staff ML Engineer, you will leverage your deep understanding of ML, modeling, and statistics to solve problems including anomaly detection, event prediction and context understanding with the goal to optimally manage whole-home energy consumption, deliver meaningful insights to the customer, and notify them about a potential failure of equipment or hazards in their home. You’ll spearhead the entire development process, from working with the product team to define scope, the the firmware team to assess what can be implemented, the cloud team on ML ops, and the data collection team for training data. That said, we are a startup - broad range of production software development skills, flexibility to wear many hats, and enthusiasm to learn will go a long way.</p>Responsibilities<p>Lead the development of ML algorithms from the ground up which includes:</p><ul><li><p>Gain knowledge in the relevant domain (e.g.appliance signatures, failure modes, load disaggregation)</p></li><li><p>Feature engineering (including embedded implementation)</p></li><li><p>Use your experience with different machine learning frameworks to identify suitable tools for integration in Span’s software platform</p></li><li><p>Integrate developed algorithms in our production code base with robust test coverage</p></li><li><p>Work with the firmware and software teams to design Span’s edge model deployment framework</p></li><li><p>Proactively identify opportunities within Span that can benefit from data science analysis</p></li><li><p>Use fleet data to monitor algorithms in the field</p></li><li><p>Guide selection of hardware for next generation products and recommend ways to future-proof our designs</p></li></ul><p><em>Note: We’re a startup, so while this list is broad, it’s still just a start; you’ll end up wearing many hats during your time at Span.</em></p><h3>About You </h3>Required Qualifications<ul><li><p>Master’s degree or higher in Computer Science, Mathematics, Engineering, or a closely related field</p></li><li><p>5+ years' of professional experience with developing and implementing machine learning models in production for a IOT / hardware related product ; 7+ years of overall experience</p></li><li><p>Deep understanding machine learning algorithms (feature extraction from high-frequency signals, ML for physical processes, model compression and edge inference)</p></li><li><p>Advanced Python skills, as well as familiarity with pandas and various ML toolkits (pytorch / tensorflow)</p></li><li><p>Software design experience and ability to write clean, maintainable, and shippable production code</p></li><li><p>Experience working with SQL and data visualization tools</p></li><li><p>Extensive data modeling and data architecture skills</p></li><li><p>Knowledge and experience working within cloud computing environments such as AWS</p></li><li><p>Strong communication and interpersonal skills</p></li><li><p>Ability to understand and explain complex problems simply and effectively</p></li></ul>Bonus Qualifications<ul><li><p>Exposure to digital signal processing as applied to feature extraction and processing</p></li><li><p>CUDA programming / distributed training methods</p></li><li><p>Experience in non-intrusive load measurement methods</p></li><li><p>Blind source separation techniques including ICA / PCA / EMD</p></li><li><p>Understanding of electrical systems and residential loads</p></li></ul><p>The U.S. base salary range for this position is $190,000 - $225,000 plus benefits, equity and variable compensation for Sales-related roles. This range represents SPAN’s good faith estimate of competitively-priced salary for the role based on national, real-time industry data from companies of a similar growth stage. This range reflects minimum and maximum new hire salaries for the role across US locations. Within the range, individual pay is determined by location and individual factors including relevant skills, experience and education or training. This range correlates to the relative level of the candidate we believe we need for the role and may require an adjustment for candidates of a different level. </p><p>Your recruiter can share more about the specific salary range for the location this role is based during the hiring process.  </p><h2>Life at SPAN</h2><p>Headquartered in San Francisco’s vibrant SoMa neighborhood, we are an eclectic group of creative thinkers who value open communication, teamwork, and a ‘make it happen’ approach to addressing complex challenges. </p><p>SPAN embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. </p><p>We’re hiring talented individuals who are driven by success and are passionate about shaping the future of renewable energy. If that sounds like you, we’d love for you to consider joining the rapidly growing team at SPAN.</p><p><strong>The Perks:</strong></p><p>⚡ Competitive compensation + equity grants at a well-funded, venture-backed company</p><p>⚡ Comprehensive benefits (including medical; dental, vision, life and disability insurance)</p><p>⚡ Comfortable, sunny office space located near BART and Caltrain public transit</p><p>⚡ Strong focus on teambuilding and company culture (events, meet-ups, clubs)</p><p>⚡ Flexible hours and unlimited PTO</p>

Developing intuitive renewable energy products for a simple and delightful home experience, SPAN embraces technology and humanity.

Staff Machine Learning Engineer

<div><p>Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments in brick-and-mortar grocers. With our Fresh Operating System, regional and national grocery retailers have placed $1.6 billion in produce orders across the US and we've helped our partners prevent 34 million pounds of food from going to waste. Working at Afresh represents a one-of-a-kind opportunity to have massive social impact at scale by leveraging uncommonly impactful software – we hope you'll join us!</p></div><div><p><strong>About the Role</strong></p><p>The Prediction, Optimization, and Planning (POP) team builds Afresh's core replenishment technology. Our AI models are directly responsible for ordering millions of dollars of fresh inventory across the world every day. Fresh food ordering is an extremely complex high-dimensional decision-making problem. We face the complex challenges presented by decaying product, uncertain shelf lives, varying consumer demand, stochastic arrival times, extreme weather events, and tight performance constraints (to name a few). We tackle these problems with a mix of machine learning, large-scale simulation, and optimization technologies. Our team has presented work at multiple industry leading conferences, and we encourage team members to write and present their work publicly.</p><p>As an Applied Scientist at Afresh focused on forecasting, you will take your existing knowledge of machine learning and apply it to the challenge of demand forecasting. You will thrive in this role if you love the craft of neural networks in research and production environments: hyperparameter optimization, model tuning, feature selection, thorough error analysis, architecture selection, and deep understanding of the data you are modeling. We are looking for someone who is equally adept at gaining insights from 8 hours of data analysis or 8 hours of reading papers. </p><p>Your will research, implement, and rigorously validate improvements to our core forecasting system. This will include modeling seasonal demand, rare events, promotion cannibalization, and aggregating correlated demand across multi-echelon systems. Your work will be visible from day one, will make a substantial impact on decreasing food waste, and will lead to fresher, healthier produce for millions of people across the world.</p><ul><li>You will work on improving the accuracy and calibration of the demand forecasting models that power our warehouse-level and store-level ordering products. You will also lead research development for new product and business challenges.</li><li>In your first 3 months, you will acquire a comprehensive understanding of our current forecasting system and modern neural network approaches to time-series forecasting. You will gain proficiency in our data manipulation, transformation, and forecasting tools, and you'll test an experimental improvement to our demand forecasting system.</li><li>By the end of your first 6 months, you will have proposed, implemented, and rigorously validated an improvement to our forecasting system.</li><li>By the end of your first year, you will have led the implementation of fundamental changes to our core forecasting system and led research into forecasting extensions (multi-echelon forecasting, rare event modeling). </li><li>We need to make optimal ordering decisions for millions of items for weeks at a time, and our system must be fault-tolerant to an extreme. Our partners rely on our system to order millions of dollars of inventory every week, and so your code must be rigorously validated, tested, and bug-proof.</li></ul><p><strong>Skills and Experience</strong></p><ul><li>5+ years of industrial or academic experience building mission-critical machine learning systems. </li><li>Excellent communication and presentation skills. You should be able to explain complex mathematical ideas to product teams in plain English.</li><li>5+ years of experience in neural network libraries (Pytorch/Tensorflow/JAX). Proficiency in Pytorch preferred, or willingness to transition from Tensorflow/JAX. </li><li>Fluent in programmatic data analysis using SQL and Pandas.</li><li>Excellent data visualization skills.</li></ul><p><em>Salary Band:<br></em><em><br></em></p></div><div><p><strong>About Afresh</strong><br><br>Founded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we're helping grocers provide fresher food to customers at more affordable prices. <br><br>Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals including ICML, and we've raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt's Innovation Endeavors.</p><p>Fresh is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company’s values of proactivity, kindness, candor, and humility. <br><br>Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law.</p><p><strong>Here at Afresh, many of our employees work remotely provided that they reside in one of the following states: AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, WI. However, there may be key roles that will require a candidate/employee to be local to our San Francisco, CA office. In which case this requirement will be included in the job posting details under "Skills and experience" for reference. </strong></p></div>

Reducing food waste, increasing access to nutritious food globally. Optimizing grocery industry with AI-powered solutions.

Staff Applied Scientist - Forecasting

<div><div><div><div><div><p><span style="font-family:helvetica , arial , sans-serif;font-size:12pt;"><strong>About Redwood Materials</strong></span></p><div><span style="font-family:helvetica , arial , sans-serif;font-size:12pt;">Redwood Materials was founded in 2017 to create a circular supply chain for electric vehicles and clean energy products, making them more sustainable and driving down the cost for batteries. We’re doing this by developing and deploying new technologies to increase the scope and scale of recycled and sustainable materials in the global battery supply chain.</span></div></div></div></div></div></div><p><strong><span>Staff Data Scientist</span></strong><span> </span></p><p><span>Redwood Materials is looking for talented data scientists and machine learning engineers to work on several special projects which involve making real world inferences based on complex sensor and imagery data. Some examples of this data are x-ray scans, 3d imaging, and spectrometry data. This role will require creativity, thoughtfulness, and engineering intuition to extract features and build models that identify and predict physical phenomena.</span><span> </span></p><p><span>This is an opportunity to join during a critical growth phase and build green field software which is critical to the technical growth and scaling of the company.</span><span> </span></p><p><span><strong>Responsibilities will include:</strong></span></p><ul><li><span>Leading technical teams, managing project requirements and timelines</span><span> </span></li><li><span>Deploying machine learning/data pipelines to cloud infrastructure</span><span> </span></li><li><span>Designing robust cloud architecture for machine learning projects</span><span> </span></li><li><span>Utilizing your experience in a physical engineering discipline, physics, or strong intuition around modeling mechanical/electrical/chemical/high-energy radiation processes</span><span> </span></li></ul><p><strong><span>Desired qualifications:</span></strong><span> </span></p><ul><li><span>Bachelor’s degree in Computer Science, an Engineering discipline, or equivalent practical experience. </span></li><li>Strong software architecture and coding skills. We are looking for folks capable of developing and deploying pipelines and writing clean, maintainable code, much of which will be used in production.</li><li>5 years of in-depth experience working with classical machine learning methods (trees, clustering, SVM, ability to blend techniques and pick the right tool for the job), 4 years of professional software development experience.</li><li>Ability to implement algorithmic machine learning-esque models for problems that are not solved well by standard/textbook machine learning techniques.</li><li>Strong experience with Python, Pandas, scikit-learn, relational databases, Linux, working in cloud environments. <span> </span></li></ul><p><span> </span><span>The position can be remote with occasional travel or in-person at our headquarters in Carson City, Nevada.</span><span> </span></p><p><span> </span></p><p><span> </span></p><div><p><span style="font-size:12pt;font-family:helvetica , arial , sans-serif;">The position is full-time. Compensation will be commensurate with experience.</span></p><p> </p><p><span style="font-size:12pt;">We collect personal information (PI) from you in connection with your application for employment with Redwood Materials, including the following categories of PI: identifiers, personal records, professional or employment information, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment. If you have additional privacy-related questions, please contact us at privacy@redwoodmaterials.com.</span></p></div>

Innovating sustainable battery production with closed-loop supply chain and local manufacturing for eco-friendly impact.

Staff Data Scientist 

<p><strong>About Us</strong></p><p>At Saildrone, we sustainably explore, map, and monitor the oceans to understand, protect, and preserve our world. We provide real-time access to critical data from any ocean on earth, 24/7/365, and use proprietary software applications to transform that data into actionable insights and intelligence. Our fleet of uncrewed surface vehicles (USVs), powered by renewable wind and solar power, have a minimal carbon footprint and operate without the need for a crewed support vessel. Saildrone works with governments, civil agencies, foundations, universities, and private companies around the globe to drive better information about our oceans and seas—from sailing into the eye of a category 4 hurricane to obtain new data about how storms intensify, collecting new CO2 data in hard-to-reach areas, and counting fish biomass to inform sustainable fishery management, to mapping the ocean floor and reducing illegal fishing and drug trafficking. As a result of our work, Saildrone has been included on Fast Company’s annual list of the World’s Most Innovative Companies, earned an Ocean Awards’ Innovation Award, won Best Tech For Good from the Timmy Awards, and was recognized by Andreessen Horowitz’s American Dynamism 50 list of the Top 50 Companies Kickstarting American Renewal. Our first-annual Atlantic hurricane mission with NOAA was included as one of The New York Times’ 21 Things That Happened for the First Time in 2021 and Popular Science's 100 Greatest Innovations of 2021.</p><p>We are based in Alameda, CA, with offices in Washington DC and St. Petersburg, FL, and operate our missions worldwide. Saildrone is backed by top-tier investors in the frontier tech and sustainability sectors, including Social Capital, Capricorn, Lux Capital, BOND Capital, and Emerson Collective. </p><p>This is an exciting opportunity with a fast-growing team at the cutting-edge intersection of big data services and autonomous hardware. You will be an integral part of a high-performing multi-disciplinary delivering high impact for humanity and future generations.</p><p><br></p><p><strong>The Role</strong></p><p>Data is Everything. The Saildrone fleet of ocean-going vessels tirelessly sails the world's seas piecing together the world's largest high-resolution meteorological oceanic dataset at a rate, precision and price point that was previously impossible. With NOAA approved data precision and demonstrated reliability, two other datasets that you'll be working with are ocean floor depth mapping and maritime domain awareness, which is anything associated with the safety and security of our oceans, such as illegal fishing and drug enforcement. You will build the data pipeline powering both our external APIs and internal business intelligence about our drones. An effort spanning architecture, development, reliability, and scale, it is critical in our mission to deliver planetary insights.</p><p><br></p><p><strong>Required Skills and Experience</strong></p><ul><li> 8+ years of relevant experience and demonstrated track record of tech leading large cross- functional projects</li><li> Experience in data pipeline/platform software development in cloud environments (AWS, GCP, Azure, etc.)</li><li> Working knowledge of relational databases (Postgres, AWS Aurora, PostGIS)</li><li> Working knowledge of Athena/Presto, BigQuery, Redshift, Snowflake, or Vertica</li><li> Familiar with Argo, Dagster, Airflow, or Luigi workflow orchestration engines</li></ul><p><br><br><strong>Desired Skills and Experience</strong></p><ul><li>Experience working with time series, geospatial, geo-temporal, or map-tile data would be a huge bonus</li><li> Experience with data from drones or robots, such as those from ROS-based systems, would also be very helpful</li><li> Expertise in Python or NodeJS programming languages</li><li> Familiar with Parquet or Protobuf data file formats</li><li> Experience with streaming technologies such Kafka, AWS Kinesis, Flink</li><li> Experience with serverless functions, such as AWS Lambda</li><li> NoSQL experience - DynamoDB, Redis, Influx, Timescale</li><li> Knowledge of visualization tools such as Jupyter Notebooks, Tableau, Streamlit</li><li> Experience with developing and deploying distributed services with Docker</li><li> Built data pipelines for Machine Learning applications</li></ul><p><br><br><strong>Physical Requirements: </strong><strong></strong>Work is performed on a computer and requires ability to operate a keyboard and other peripheral devices.<br><br></p><p><strong>Location</strong>: This position is in Alameda, CA (Hybrid - a minimum of 3 days per week in office).  Our waterfront office offers beautiful views of San Francisco Bay in always sunny Alameda. Even our walls have good karma, our offices mix software development with a hardware production line in the former airplane hangar used to film 'The Matrix'.<br><br></p><p><strong>Benefits</strong>:</p><ul><li>Medical, dental and vision plans for you and your dependents.</li><li>Short and relaxing ferry ride from the Ferry Building for SF residents</li><li>Enhanced Parental Leave Programs</li><li>Competitive benefits including excellent medical, life insurance, 401k plan<br><br></li></ul><div><div>A reasonable estimate of the current range is $149,400-$198,000 annually.</div></div><div><br></div><p><b>Catch up on the latest news about us:</b><br><br><a href="https://www.nytimes.com/interactive/2023/05/09/magazine/hurricane-saildrone.html?unlocked_article_code=VUzdTI4_2Wkbe3pfTGzCSB6C-YwQ-xsFx00o1N8VWsm9ruYqPH8NHVCHj7epbQZdWW5v_5AfzFD3A-GAeKfNoskNsNxBqdlL8EnPCOqk7lhC3wec5TfyBq0X_-hXbKz4fvsT-BMCyauBDwZPUkQNMfT0D0kizkSp9QCW9-RY7hZbCGqOmWxwrxidkkvQE7E_PfPIS-smU1udF6DOg-U1JRyJNoVAz-56QPgnztgubt69DSPdUOji_Px1TlNzsDDh2Niv5pjwFrT3tITydGgZQ9G1W9VRyHubAP_SkT2W67CNCxSpGmEYk2DKsJ7ry9NFp0s1R3HE0sXnd0_RxLelAaYGK13j8VtmEyaPO24LZQ&amp;smid=url-share">The Tiny Craft Mapping Superstorms at Sea – The New York Times</a><br><a href="https://www.ktvu.com/video/1259029">Alameda's Saildrones collect hurricane data - KTVU Fox 2</a><br><a href="https://www.saildrone.com/news/guinness-record-highest-windspeed-recorded-by-usv-hurricane-sam">Record Setting: Saildrone Explorer SD 1045 Entered into Guinness Book</a><br><a href="https://techcrunch.com/2023/03/28/saildrone-takes-the-wraps-off-its-voyager-autonomous-research-vessel/">Saildrone Takes the Wraps Off its Voyager Autonomous Research Vehicle – TechCrunch</a><br><a href="https://www.sfchronicle.com/climate/article/underwater-mountain-california-alaska-17852430.php?utm_source=marketing&amp;utm_medium=copy-url-link&amp;utm_campaign=article-share&amp;hash=aHR0cHM6Ly93d3cuc2ZjaHJvbmljbGUuY29tL2NsaW1hdGUvYXJ0aWNsZS91bmRlcndhdGVyLW1vdW50YWluLWNhbGlmb3JuaWEtYWxhc2thLTE3ODUyNDMwLnBocA==&amp;time=MTY4Mzg0MjA4OTIzNQ==&amp;rid=YWRjMTllMzgtYzkzNi00OGQ2LTljMzgtMTQ2OGNlMThiZWY4&amp;sharecount=MQ==">An Underwater Mountain was Newly Discovered off California Coast – San Francisco Chronicle</a><br><a href="https://insideunmannedsystems.com/the-quest-for-co2-you-cant-capture-what-you-cant-find/">The Quest for CO2: You Can’t Capture What You Can’t Find – Inside Unmanned Systems</a><br><a href="https://www.freethink.com/series/hard-reset/saildrone-59150">Hacking the Anthropocene with Survivalist Robots [VIDEO] – Freethink</a><br><a href="https://wapo.st/42vmblE">Here’s What Hurricane Fiona’s Surf Looked Like, from Atop a 50-foot Wave – The Washington Post</a><br><a href="https://eos.org/features/an-unprecedented-view-inside-a-hurricane">An Unprecedented View Inside a Hurricane – EOS</a><br><a href="https://www.cnn.com/2021/12/09/weather/saildrones-study-gulf-stream-for-carbon-climate-change/index.html">They Sailed Into a Hurricane, Now These Unmanned Saildrones are Seeking Data on Our Carbon Uptake – CNN</a><br><a href="https://www.youtube.com/channel/UCeNeAwBccKamrUbEQxoygLQ">Saildrone Featured Videos Playlist</a></p><p><br>We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.<br><br>At Saildrone, we value diversity and are committed to creating an inclusive workplace that welcomes people from all backgrounds, experiences, and perspectives. We believe that a diverse and inclusive team leads to innovation and better problem-solving. We encourage applications from candidates of all genders, ethnicities, races, sexual orientations, disabilities, and backgrounds.<br><br>Individual compensation packages are based on geographic location, scope of the role, relevant experience, and the ability to deal with complexity and problem solve within our organization, among other factors.<br><br><strong>All employees are required to provide proof of authorization to work in the U.S. within their first 3 days of work. Please note that the Company does not sponsor employees for work visas or permanent resident cards to work in the U.S. If you need sponsorship for a work visa or green card, you will not be qualified for employment with Saildrone.<br></strong><br><em>Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Saildrone are considered property of Saildrone and are not subject to payment of agency fees.</em><br><br><br></p><p> </p><p>#LI-Hybrid</p><p>#LI-LP1</p><p> </p>

Revolutionizing ocean data collection with wind and solar-powered autonomous surface vehicles, driving better insights for a sustainable future.

Staff Software Engineer, Data

<div><span style="font-size:12pt;">Zoox is looking for experienced software engineers who can design, implement, and maintain data-intensive and large-scale distributed systems. Our systems use large amounts of real-world driving data combined with high-fidelity simulation. In this role, you will be responsible for architecting and scaling Automated ML platform capabilities. You will work cross-functionally with engineers in AI, Simulation, and Data Science to push the boundaries of scalability and performance, and bring state-of-the-art machine learning and optimization applications to production.</span></div><br><br><h3>Responsibilities</h3><ul><li>Build the foundational blocks of an automated ML platform and improve its core capabilities </li><li>Design and support large-scale infrastructure services</li><li>Lead complex, cross-functional projects</li><li>Keep up with the state-of-the-art AI frameworks  </li><li>Communicate your work to other teams at Zoox</li></ul><h3>Qualifications</h3><ul><li>3+ years of industry experience in architecting and scaling distributed systems in production </li><li>Experience building large-scale data pipelines</li><li>BS/MS in Computer Science or equivalent experience</li><li>8+ years of relevant experience</li><li>Fluency in Python </li></ul><h3>Bonus Qualifications</h3><ul><li>Experience building large-scale software services on the cloud</li><li>Experience with hyperparameter optimization</li><li>Experiencewith autonomous vehicles</li><li>Experience with AWS </li><li>Experience with LLM</li><li>Fluency in C++</li><li>Experience with Javascript and Vue or other JS frameworks</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 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>

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

Senior/Staff Software Engineer – Machine Learning Platform

<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 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 write algorithms to process raw sensor data, track dynamic agents, and predict the future state for agents</li><li>You will apply distributed compute algorithms to efficiently analyze petabytes of urban driving data</li><li>You will develop metrics and tools for analyzing errors and understanding improvements in our systems</li><li>You will engineer software that runs on-vehicle to efficiently execute our algorithms in real time</li><li>You will engineer software that is fault-tolerant and conforms to automotive safety standards</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>Fluency in C++</li><li>Extensive experience with programming and algorithm design</li><li>8+ years of experience in a related field</li></ul><h3>Bonus Qualifications</h3><ul><li>Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines</li><li>Experience with latency of analysis and optimization of safety critical software systems</li><li>Experience with petabyte-scale distributed computing (Spark, Databricks, generic MapReduce pipelines)</li><li>CUDA programming experience</li><li>Prior experience with Prediction and/or 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 $210,000 - $300,000. 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 Software Engineer - Collision Avoidance System

<div><span style="font-size:11pt;">Our group's mission is to design, prototype and produce novel methods and tools for efficient modeling and simulations of complex systems at scale. These tools aid in measuring the safety of our Artificial Intelligence (AI) and readiness for launch. We use recent advances in machine learning, statistics, optimization, and numerical methods to verify and validate our software and AI in the most challenging environments, and subsequently develop tools to enable other teams at Zoox to do the same.</span></div><div><br></div><div><span style="font-size:11pt;">We are looking for experienced software engineers who can design, implement, and maintain data-intensive large-scale distributed systems. In this role, you will be responsible for architecting and scaling the core capabilities of our platform. You will work cross-functionally with engineers in AI, simulation, infra, and data science to push the boundaries of scalability and performance, and bring state-of-the-art machine learning and optimization applications to production. </span></div><br><br><h3>In this role, you will:</h3><ul><li>Build the foundational blocks of our distributed computing platform and improve its core capabilities </li><li>Design and support large-scale infrastructure services</li><li>Lead complex, cross-functional projects</li><li>Keep up with the state-of-the-art distributed computing and AI frameworks  </li><li>Communicate your work to other teams at Zoox</li></ul><h3>Qualifications</h3><ul><li>8+ years of industry experience in architecting and scaling distributed systems in production </li><li>Experience building large-scale efficient data pipelines</li><li>BS/MS in Computer Science or equivalent experience</li><li>Fluency in production-level Python</li></ul><h3>Bonus Qualifications</h3><ul><li>Experience building large-scale software services in the cloud</li><li>Experience with hyperparameter optimization or large-scale simulations</li><li>Experience with Amazon Web Services (AWS) and Compute Unified Device Architecture (CUDA)</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 $204,000 to $294,000. 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/Staff Software Engineer - Distributed Computing Platform

<div>This is an opportunity to join the Software Systems Engineering team to participate in building the Zoox robotaxi, the first in the world that has operated on public roads. The Software Systems Engineering team is responsible for defining SW development processes and ensuring that all safety-critical software meets a high safety bar for production vehicles.</div><div><br></div><div>In this role, you will collaborate with the software and safety team to ensure the developed software meets the targeted integrity level. The focus of this role will be on software architecture and systems engineering activities of Robot’s AI software applications, middleware and driver components.</div><div><br></div><br><br><h3>In this role, you will</h3><ul><li>Form and lead a cross functional SW architecture committee for </li><li>Set up process/templates to enforce industry standards and best practices for developing and maintaining SW components using Linux/C/C++/GPU/AI Applications</li><li>Evaluate the existing SW architecture and providing guidance/suggestions to improve safety, reliability and performance</li><li>Set up a Change Control Board and develop relevant change management process/templates for handling the architecture level changes across different systems/subsystems</li><li>Work with cross functional teams to review/approve/reject architecture level changes</li><li>Introduce SW Architecture best practices such as modularity, flexibility and scalability and ensuring their effective implementation into Zoox’s workflows</li></ul><h3>Qualifications</h3><ul><li>12+ years of industry experience in architecting/developing  scalable/distributed/complex applications using C/C++ in Linux Environment</li><li>Exposure to different communication protocols and standards, open source communication frameworks</li><li>Exposure in developing software using different processor architectures like X86, ARM, Other microcontrollers</li><li>Exposure to GPU/Accelerated computing environments. Exposure to high performance, distributed and resource constrained SW systems development</li><li>Familiar and Hands on experience in using industry best practices in the area of change management and configuration management </li></ul><h3>Bonus Qualifications</h3><ul><li>Exposure to various operating systems including Real Time Operating Systems and architectures</li><li>Hands on experience with industry standard tools (Ex:MagicDraw, Enterprise architect, etc) for SW Systems Engineering</li><li>Exposure to SW System Engineering best practices and standards (Ex: ASPICE, DO-178B/C, ISO 26262)</li><li>Exposures to software development processes for Safety Critical Applications</li><li>Exposure to Autonomous vehicle development</li></ul><br><div>There are three major components to compensation for this position: pay, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The pay range for this position is $204,000 to $294,000. 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 pay range listed in this posting is representative of the range of levels Zoox is considering for this position.</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><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>

Staff Software Systems Engineer - Software Architecture

<div><span style="font-size:11pt;">Ride and Fleet Services is looking for a Senior/Staff Software Engineer to help build and optimize a robust platform that orchestrates the Zoox robotaxi service. This service includes a series of mission critical APIs that require a high level of resilience as they serve both internal and external users and our fleet of autonomous vehicles.</span></div><div><br></div><div><span style="font-size:11pt;">If you are a natural optimizer and care deeply about building resilient services, you will excel in this role. We need engineers to identify impactful opportunities, execute on them and measure impact. You will need to be able to operate with a high level of detail to root cause errors and latencies, while also maintaining awareness of overall system architecture.</span></div><br><br><h3>In this role, you will:</h3><ul><li>Use existing monitoring, observability and stress-test tools to identify performance improvements and help implement them.</li><li>Iteratively improve monitoring and observability as our traffic grows.</li><li>Work closely with our Site Reliability Engineering team to optimally configure our services.</li><li>Identify key reliability risks and propose solutions to reduce them.</li><li>Work with our Security team to improve our security posture by managing dependencies, developing strong security practices and resolving identified issues.</li><div><br></div></ul><h3>Qualifications</h3><ul><li>Passionate about optimizing systems for maximum efficiency and resilience.</li><li>Extensive experience with design and implementation of backend services.</li><li>Experience with Kotlin or Java, Python, REST APIs and SQL.</li><li>Knowledge of Kubernetes and Docker.</li><li>Deeply cares about monitoring and diagnosing issues of production systems.</li><div><br></div></ul><h3>Bonus Qualifications</h3><ul><li>Experience with Spring Boot based microservice architectures, PostgreSQL, Kafka, Elasticsearch, Kubernetes or Docker.</li><li>Recent experience in programming languages such as Python or Kotlin.</li><li>Experience with event driven architecture and Kafka.</li><div><br></div><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 $203,000 to $293,000. 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/Staff Software Engineer, Ride & Fleet Services - Platform

<h1>Company</h1><p>In order to keep climate change to 1.5°C, we’ll need 30% of global GDP (all of energy generation and transportation) to run on batteries by 2035.</p><p> </p><p>Zitara Technologies (YCombinator S20) builds predictive battery management software for transportation and energy customers with large deployments. Our customers operate &gt;$100M deployments of batteries in satellites, EVs, and renewable energy storage installations.</p><p> </p><p>Our team brings top researchers in physics-based battery algorithms together with seasoned software engineers to build safety-critical firmware and large scale machine learning systems. We bring with us decades of experience from companies like Tesla, Facebook, and Google.</p><h1>Role</h1><p>We're looking for a multidisciplinary software and simulation engineer who can draw from academic literature, practical engineering tools, and domain-specific data and models to design, analyze, and improve battery modeling and simulation software.</p><p> </p><p>Zitara's software spans cutting-edge battery science, high-performance data infrastructure, complex modeling and learning systems, and safety-critical onboard firmware.  We're looking for a software engineer who can work across these areas of expertise to build the algorithms behind our core technology.</p><p> </p><p>In this role, you will work closely with our battery scientists and controls engineers to refine and improve the robustness of scale up our simulation and prediction software.  You will also have the opportunity to work with our embedded team to adapt the algorithms you design for running in real-time battery management systems.</p><p> </p><h1>Responsibilities</h1><ul><li>Work with our battery scientists and controls engineers to identify and implement improvements in our simulation and signal processing algorithms</li><li>Write robust, well-tested signal processing, simulation, and optimization software in Python, Rust, and C / C++</li><li>Provide guidance and mentorship to the larger organization on system architecture, design for testability, and building maintainable software.</li><li>Design and communicate complex software architecture through written documentation and in-person discussion</li><li>Work with product and project management to scope and plan around development initiatives, and connect results to our customer-facing feature roadmap</li></ul><h1>Qualifications</h1><ul><li>7+ years of experience in writing profession Python software following modern best practices</li><li>Experience architecting simulation workflows, including efficient simulation engines, validation, visualization, and metrics aggregation software</li><li>BS, MS, or Ph.D in Computer Science, Chemistry / Chemical Engineering, Physics or other related engineering discipline.</li><li>Clear and effective written and interpersonal communication skills</li></ul><h1>Preferred Additional Qualifications</h1><ul><li>Experience with Kalman Filtering or other statistical methods</li><li>Practical implementation experience with numerical methods for differential equations</li><li>Experience with Rust</li><li>Experience with Bazel</li><li>Familiarity with battery or energy systems applications</li></ul><p> </p><p>Note: this position may be filled by a candidate either remote or hybrid in-person in our SF office. In-person candidates will be preferred, and remote candidates will need to demonstrate superlative organizational and communication skills.</p><h1>What We Offer</h1><ul><li>A full-time position, working from our office in San Francisco, CA or remotely.</li><li>Competitive pay.</li><li>Health, Dental, and Vision care for you and your family.</li><li>A 401k savings plan.</li><li>“Unlimited PTO” vacation policy.</li><li>Excellent colleagues that are interested in your happiness and growth.</li></ul><p> </p>

Zitara Technologies: Cloud-ready software empowering companies to optimize battery performance and enhance fleet operations.

Staff Simulation Software Engineer

<div>Zoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis on public roads, and it is a great time to join Zoox and have a significant impact in executing this mission. The ML Platform team at Zoox plays a crucial role in enabling innovations in ML and CV to make autonomous driving as seamless as possible. </div><div><br></div><div><b>The Opportunity</b></div><div>Are you excited to lead our ML Performance Optimization initiatives and make our Training and Inference platform that enables autonomous driving as fast and efficient as possible? You will get to work across all ML teams within Zoox - Perception, Prediction, Planner, Simulation, Collision Avoidance, and Advanced Hardware Engineering group and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox.</div><div><br></div><div>We build and operate the base layer of ML tools, deep learning frameworks, and inference systems used by our applied research teams for in- and off-vehicle ML use cases. You will lead a team of strong software engineers and act as a force multiplier for our internal customers. This team has a lot of growth opportunities as we expand our robotaxi deployments and venture into new ML domains. If you want to learn more about our stack behind autonomous driving, please look <a href="https://zoox.com/autonomy/">here</a>.</div><br><br><h3>In this role, you will:</h3><ul><li>Develop and execute a strategic vision for the ML Performance Optimization team to unlock ML innovation in autonomous driving and rider experience. </li><li>Lead the design, implementation, and operation of cutting-edge ML Training and inference performance optimization techniques.</li><li>Collaborate closely with x-functional teams, including ML researchers, software engineers, data engineers, and hardware engineers, to define requirements and align on architectural decisions.</li><li>Enable the engineers in the team to grow their careers by providing technical guidance and mentorship.</li></ul><h3>Qualifications</h3><ul><li>Strong experience with training frameworks like PyTorch, leveraging GPUs efficiently for distributed model training.</li><li>Experience with GPU-accelerated inference using TensorRT, Ray Serve, or similar frameworks.</li><li>Experience using profiling tools like NVIDIA's Nsight or PyTorch's Profiler for identifying model training and serving bottlenecks.</li><li>Proficient in Python and C++</li><li>Experience with model compression techniques to reduce model size and improve performance.</li></ul><h3>Bonus Qualifications</h3><ul><li>10+ years of total experience, including 4+ years of working on large-scale model training or inference platforms.</li><li>Excellent leadership skills with a demonstrated ability to lead high-performing engineering teams.</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 $234,000 to $342,000. 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>

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