<div><span style="font-size:11pt;">Zoox’s Robot Software Infrastructure Deploy team builds systems that update software and firmware on vehicles and test fixtures during development, manufacturing, and in the field. The deploy system covers a broad spectrum of sensors, compute systems, automotive ECUs, network switches, and user interface devices. The candidate will need a flexible mind and a collaborative approach. The team continually incorporates more devices, covers more use cases, and improves system instrumentation, performance, and reliability.</span></div><br><br><h3>In this role, you will:</h3><ul><li>Add deploy support for new and updated components</li><li>Improve the deploy framework, tools, instrumentation, and integration with other engineering systems.</li><li>Optimize deploy system performance and reliability</li><li>Triage, debug, and resolve deploy failures</li><li>Work closely and collaboratively with Firmware engineers, QA, Fleet operations, and other partners</li></ul><h3>Qualifications</h3><ul><li>Computer science or computer engineering bachelor’s degree, or equivalent practical experience</li><li>5+ years of experience with Python</li><li>Experience using Linux in an embedded environment</li><li>Familiarity with CAN or other embedded/automotive communication protocols</li><li>Demonstrated triage, debugging, and problem-solving skills</li></ul><h3>Bonus Qualifications</h3><ul><li>Proficiency in a language without automatic memory management (e.g., C or C++)</li><li>Experience with software build systems</li><li>Familiarity with manufacturing systems</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 $179,000 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>

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

Vehicle SW Deployment Engineer: Robot Software Infrastructure

<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>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>

Manager, Data Science for Collision Avoidance

<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>Simulation is essential to Zoox’s mission. Zoox uses simulation to develop our driving software, validate safety, and analyze our real-world performance. Our team’s work directly impacts how rapidly and successfully Zoox will achieve its goals.</div><div><br></div><div>For our simulators to successfully validate our autonomous driving stack, we need to realistically model and replicate the worlds we will be driving in. This includes modeling and simulating human behaviors, specifically traffic and other pedestrian behaviors. The challenge is that the simulated humans need to show realistic and representative behavior — we want our agents to jaywalk as a human might do, and also replicate a wide range of behaviors that we encounter while driving in real cities.</div><div><br></div><br><br><h3>In this role, you will:</h3><ul><li>Populate the simulated roads with intelligent participants. </li><li>Create simulated cars, pedestrians, bicyclists, motorcyclists, etc. to behave realistically by default, and tunable to create a full gamut of traffic/agent behaviors.</li><li>Push the state of the art in traffic and behavior modeling to capture real-world behaviors as closely as possible.</li><li>Work closely with various teams — including AI software teams, QA, and Validation Engineers — to push autonomous driving forward.</li></ul><h3>Qualifications</h3><ul><li>Bachelors or Masters degree in Computer Science or related field</li><li>8+ years of experience in a related field</li><li>Fluency in C++</li><li>Mathematics skills, including trigonometry and linear algebra</li><div><br></div></ul><h3>Bonus Qualifications</h3><ul><li>Experience in game development, traffic simulation, motion planning, or pathfinding</li><li>Experience in automotive, robotics, data science, or machine learning</li><li>Familiarity with 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 $200,000 to $285,000. 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 - Simulation Traffic & Behavior Modeling

<div>Simulation is essential to Zoox’s mission. Zoox uses simulation to develop our driving software, validate safety, and analyze our real-world performance. Our team’s work directly impacts how rapidly and successfully Zoox will achieve its goals.</div><div><br></div><div>For our simulators to successfully validate our autonomous driving stack, we need to realistically model and replicate the worlds we will be driving in. This includes modeling and simulating human behaviors, specifically traffic and other pedestrian behaviors. The challenge is that the simulated humans need to show realistic and representative behavior — we want our agents to jaywalk as a human might do, and also replicate a wide range of behaviors that we encounter while driving in real cities.</div><div><br></div><br><br><h3>In this role, you will:</h3><ul><li>Populate the simulated roads with intelligent participants. </li><li>Create simulated cars, pedestrians, bicyclists, motorcyclists, etc. to behave realistically by default, and tunable to create a full gamut of traffic/agent behaviors.</li><li>Push the state of the art in traffic and behavior modeling to capture real-world behaviors as closely as possible.</li><li>Work closely with various teams — including AI software teams, QA, and Validation Engineers — to push autonomous driving forward.</li></ul><h3>Qualifications</h3><ul><li>Bachelors or Masters degree in Computer Science or related field</li><li>8+ years of experience in a related field</li><li>Fluency in C++</li><li>Mathematics skills, including trigonometry and linear algebra</li><div><br></div></ul><h3>Bonus Qualifications</h3><ul><li>Experience in game development, traffic simulation, motion planning, or pathfinding</li><li>Experience in automotive, robotics, data science, or machine learning</li><li>Familiarity with 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 $210,000 to $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>

<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>

Senior/Staff Systems Engineer - Simulation Verification & Validation

<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><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

<div><span style="font-size:12pt;">The TeleGuidance Planning team at Zoox enables our autonomous vehicles to incorporate human contextual guidance into the planning algorithms, allowing our vehicles to successfully reason about and navigate complex scenarios by leveraging real-time remote human guidance. TeleGuidance is an integral part of the self-driving stack, dealing with some of the most challenging scenarios by fusing the “human sensor” data in real-time to plan a solution to complete the mission. </span></div><div><br></div><div><span style="font-size:12pt;">Take a look at this video we made for a more thorough explanation: </span><a href="https://youtu.be/NKQHuutVx78" style="font-size:12pt;">https://youtu.be/NKQHuutVx78</a></div><div><br></div><div><span style="font-size:12pt;">Zoox is looking for a motion planning software engineer to join our Planning and Control team. In this role, you will help us develop planner behavior and trajectories in collaboration with remote guidance and write on-vehicle C++ components that integrate human guidance into the execution of our robot. You’ll solve the most complex and challenging edge cases for autonomous systems that are absolutely crucial to enabling Zoox’s mission. </span></div><br><br><h3>Responsibilities</h3><ul><li>You will write on-vehicle C++ code that seamlessly integrates guidance provided by remote operators into the autonomous planner stack.</li><li>Within the Planner organization, you will work with fellow engineers from vertical teams (agent handling, junctions, etc.), and you will represent TeleGuidance as a member on horizontal teams (construction zones, emergency vehicles, etc.).</li><li>You will design and implement new tools and features that remote operators will use to help our fleet of vehicles to navigate complex dense urban driving environments. You will work with QA to develop a test plan for your new features.</li><li>You will have the opportunity to contribute to a broad portion of the code base, as dictated by your skills and interests. Members of our team have contributed to motion planning, trajectory optimization, GPU code, offline tooling/simulation, cost tuning, and more.</li><li>You will collaborate with developers across the AI software organization as a whole: Prediction, Perception, Core/Infra, and more.</li></ul><h3>Qualifications</h3><ul><li>Master's degree in Computer Science or related field</li><li>Experience writing performance-critical production code in C++</li><li>Demonstrated ability to create real-time motion planning algorithms</li><li>Understanding of configuration spaces and a variety of planning techniques (A*, D*, RRTs, etc.)</li><li>Extensive experience with programming and algorithm design</li><li>Strong mathematical and geometrical skills</li><li>Experience leading small projects or teams</li></ul><h3>Bonus Qualifications</h3><ul><li>PhD in Computer Science or related field</li><li>Experience with autonomous robots, Telerobotics</li><li>Experience with CUDA, Protobuf, or TypeScript</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>

Senior/Staff Motion Planning Engineer, Teleguidance

<div><a href="https://www.linkedin.com/company/zoox-inc" style="font-size:11pt;">Zoox</a><span style="font-size:11pt;"> is on a mission to make personal transportation safer, cleaner, and more enjoyable for everyone. We are transforming mobility-as-a-service by developing a fully autonomous, purpose-built robotaxi designed for AI to drive and humans to enjoy</span><span style="font-size:12pt;">.</span><span style="font-size:11pt;"> We are still in the early stages of </span><a href="https://zoox.com/journal/zoox-update-03-14" style="font-size:11pt;">deploying our robotaxis</a><span style="font-size:11pt;"> on public roads, and it is a great time to join Zoox and have a significant impact in executing this mission. The Robot Data Platform team at Zoox plays a crucial role in ingesting our vehicle data into our data lake and having it easily accessible for various downstream data processing needs. </span></div><div><br></div><div><b style="font-size:12pt;">The Opportunity</b></div><div><br></div><div><span style="font-size:11pt;">Are you excited to manage our Robot Data Platform team, which builds the infrastructure, services, and tools that manage our lifecycle of vehicle data? You will be responsible for ingesting, validating, processing, and serving several hundreds of petabytes of vehicle data for various downstream needs, such as assembling training datasets, building simulation workloads, etc. You will work across diverse teams, including our AI, Firmware, QA, Data Science, and Release management teams, to understand the nature of data flowing through our systems and the requirements of data consumers and push the boundaries of how we make data-driven decisions at Zoox.</span></div><div><br></div><div><span style="font-size:11pt;">We build and operate the data ingestion and validation pipelines, a custom storage format optimized for our business use cases, and tools for ensuring data is easily discoverable with fine-grained access control and data retention policies. You will manage a team of software engineers and act as a force multiplier for our internal customers. This team has many growth opportunities as we expand our robotaxi fleets and venture into new ML domains.</span></div><br><br><h3>In this role, you will:</h3><ul><li>Develop and execute a strategic vision for our Robot Data Platform, ensuring scalability, reliability, and performance to support our autonomous vehicle operations while remaining cost-efficient. </li><li>Lead the design, implementation, and operation of a robust and efficient data platform that is the backbone of our ML, Simulation, and business-critical data needs.</li><li>Attract, hire, and inspire a diverse, world-class engineering team, fostering a culture of innovation, collaboration, and excellence.</li><li>Lead cross-functional initiatives across Zoox to define requirements and align on architectural decisions.</li><li>Empower team members with the right opportunities and clear and timely feedback to grow their careers.</li></ul><h3>Qualifications</h3><ul><li>8+ years of total experience, including 2+ years of engineering management experience.</li><li>Excellent leadership skills with a demonstrated ability to build and manage high-performing engineering teams.</li><li>Experience building large-scale data infrastructure that powers ML and analytical use cases.</li><li>Experience with distributed data processing frameworks like Spark, Flink, Ray, etc.</li><li>Experience with cloud computing platforms like AWS, GCP, and Azure.</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 $204,000 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>A Final Note:</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><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>

Engineering Manager, Robot Data Platform

<div><span style="font-size:16px;">As the Director of Quality Assurance (QA) &amp; Release Management, you are someone who is obsessed with quality improvement with the ability to develop and drive a high-level strategy. You take a hands-on approach to implementing that strategy through Verification and Validation. Additionally, you thrive in a start-up environment and have experience in setting up and successfully managing QA teams for bespoke autonomous vehicle (AV) platforms.</span></div><br><br><h3>In this role, you will be:</h3><ul><li>Provide strategic engineering leadership to validate driving AI software using simulation testing, on-vehicle structured testing, systematic validation for robot motion control, behavior analysis of ML-based perception and prediction components. </li><li>Institute release management principles, SW deployment operations and validation methodologies, determining software readiness to deploy vehicles on public roads. </li><li>Help define the software delivery process and test methodology for in-house tools and applications.</li></ul><h3>Qualifications</h3><ul><li>10+ years of experience architecting and executing test plans towards system/subsystem level verification and validation</li><li>12+ years of experience working in Quality Assurance engineering</li><li>Prior experience in working with field test teams</li><li>Experience with managing manual, design and development of automation frameworks</li><li>Experience with management of product releases and tailored verification campaigns</li><li>Deep knowledge of Computing architectures (low power and high performance)</li><li>Exposure to data analytics frameworks</li><li>Experience working with programming languages and tools (Testrail, Jira, Confluence, Jenkins, Githut, Python, etc).</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 $260,000 to $372,000. 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>

Director of QA & Release Management

<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>

Senior Engineering Manager, Site Reliability Engineering

<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>

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