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We are seeking a Senior/Staff Software Systems Architect with strong analytical and technical skills to gather, interpret, and present data that supports architecture decisions for our autonomous driving platform. This role sits at the intersection of software, hardware, and systems design, with a focus on collecting and analyzing real-world performance, telemetry, and service data to provide the evidence base for robust, scalable, and efficient solutions. You will analyze power and performance measurements, assess service and operational efficiency, and identify solutions to potential integration bottlenecks or failure risks, ensuring that vehicle platform architectural evolution is grounded in clear, data-backed insights. You will play a key role in profiling system performance, assessing operational efficiency, and identifying bottlenecks or failure risks across compute and service layers. Your insights will directly influence vehicle platform architecture, compute module design, and fail-operational strategies. In this role, you will: Lead analytics-driven architectural evaluations across compute, networking, and software. Apply analytical tools to logs and real-time data from simulation and test environments to validate architectural changes for power efficiency and performance. Identify and resolve inefficiencies and scalability risks, ensuring smooth progression from prototype to large-scale deployments (hundreds to thousands of vehicles). Collaborate with cross-functional teams—including service owners, safety, hardware, and infrastructure—to ensure reliability, fault tolerance, and efficient operation under real-world constraints. Deliver clear, data-backed recommendations to stakeholders, enabling informed system design and long-term architectural planning. Qualifications: 10+ years’ experience in systems architecture or system design, with a strong background in software, hardware, or embedded systems. Proven expertise in profiling and analyzing power and performance. Experience designing and validating fail-operational, fault-tolerant systems using real-world failure and performance data. Ability to identify bottlenecks, inefficiencies, power optimizations, and scaling risks, and collaborate cross-functionally to optimize system reliability and efficiency. Strong communicator, able to translate complex technical insights into clear recommendations for both technical and non-technical audiences. Bonus Qualifications: Experience in Linux environments with hands-on experience using power and profiling tools. Experience with Databricks, Looker, and Grafana for gathering analytics and dashboarding. Experience with systems or SW development for an autonomous vehicle company. There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. 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. 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. About Zoox 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. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: 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.

At Zoox, you’ll collaborate with a world-class team with diverse backgrounds in areas such as AI, robotics, machine learning, controls, computer vision, simulation, design, and automated testing. You will be challenged to rethink what it means for hardware design to develop a purpose-built vehicle that drives itself. Working at a startup gives you the chance to manifest your creativity and make a big difference in the final product. As a technical program manager on our Telematics team, you will work with a highly cross-functional team including hardware, software, vehicle integration, and program management. You will lead and support the execution and implementation of Telematics systems that enable vehicle communications across multiple radio modalities, including LTE, 5G, WiFi, GNSS and others. You will develop project schedules to meet company milestones, align and track the team to intermediate checkpoints, gates, and milestones, identify and raise awareness of risks, and clearly communicate ongoing progress. As the end-to-end owner for this system of products, you will drive numerous cross-functional topics to conclusion, even if the locus of activity and discussion fall outside of the hardware world In this Role, You will: Work with team/department leads to translate milestones into detailed product roadmaps, timelines, and deliverables Work with cross-functional stakeholders to define and track resource allocations Define the deliverables: Align each team on the requirements for each milestone and define the benchmark for completing them Establish standard reports to provide concise and effective communications to key stakeholders on program status, issues/risks, and accomplishments Resolve or escalate issues: As issues arise, collaborate with the team to find a solution or mitigation Support key decisions working cross-functionally across engineering, product, and strategy to reach the right conclusions Maintain the team’s focus by minimizing distractions and identifying and mitigating hurdles Qualifications BS or MS degree in an engineering or equivalent experience Experience with RF technologies including LTE, 5G, WiFi, GNSS, and others 8+ years of experience in leading engineering teams and/or program management. Track record in managing complex, cross-functional hardware projects. Hands-on experience with project management/reporting tools (i.e., SmartSheet, JIRA, Confluence) Ability to communicate clearly, lead by influence, and build strong relationships with team members and leadership Bonus Qualifications Experience in highly regulated industries (automotive, aerospace, etc.) Hands-on experience in both hardware & software development projects Experience in leading projects from concept to production Hands-on experience working with suppliers Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. 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. 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. About Zoox 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. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: 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.

At Zoox, we are developing the next generation of transportation. We are designing, from the ground up, a fully autonomous, zero-emissions vehicle, purpose-built for AI and our customers. Our mission is to make mobility-as-a-service safer, cleaner, and more enjoyable for everyone. We are seeking a highly technical and strategic Technical Product Manager to own the product vision and roadmap for the entire suite of tools used to build, validate, and maintain our machine-readable map. Your primary customers are the Mapping teams who produce this foundational map. This is a high-impact, strategic role focused on evolving and scaling our mapping platform. You will be responsible for defining the long-term vision and unified product strategy for our mapping toolchain. Your mission is to deliver a cohesive, world-class platform that empowers our Mapping team and directly accelerates the accuracy, scale, and efficiency of our map production, enabling our vehicles to navigate the world safely and effectively. In this role, you will: Product Strategy & Vision: Develop and champion a long-term product vision and consolidated roadmap for the machine-readable mapping toolchain, aligning engineering efforts with key company milestones. Customer-Obsessed Discovery: Partner deeply with your primary customers to understand their end-to-end workflows, identify critical pain points, and uncover opportunities for step-change improvements in efficiency and data quality. Flawless Execution: Drive the full product development lifecycle. Author clear, comprehensive Product Requirements Documents (PRDs) and user stories, manage the prioritization and backlog, and work cross-functionally with engineering, UX, and program managers to deliver high-quality solutions. Stakeholder Alignment: Serve as the central point of contact for the mapping tool platform. Communicate your roadmap, priorities, and project status clearly and proactively to stakeholders and leadership, ensuring alignment across all dependent teams. Measure What Matters: Define, track, and report on Key Performance Indicators (KPIs) for your products. Use data to measure the impact of your solutions and to inform future product strategy. Qualifications 5+ years of Technical Product Management experience, preferably working on complex, data-heavy tools or enterprise-scale platforms. Demonstrated ability to own the full product lifecycle, from initial user research and discovery to launch, measurement, and iteration. Deep technical fluency. You must be comfortable discussing system architecture, data models, APIs, and data pipelines with senior engineers. A "customer-first" mindset with a proven track record of building empathy and solving complex user problems. Exceptional stakeholder management and communication skills; ability to build consensus and drive clarity from ambiguity in a fast-paced environment. Bonus Qualifications Experience developing AI/ML or robotics products, particularly autonomous vehicles. Experience with large-scale data processing pipelines, data annotation, or data visualization tools. Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. 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. 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.

The Sourcing & Procurement Operations Manager is a critical, operations-focused role at the intersection of procurement and supply chain management. This role is responsible for the development, implementation, and optimization of procurement systems, processes, and tools to support strategic sourcing and operational efficiency. You will manage the company’s procurement platforms and tools, champion sourcing and procurement best practices, enhance supplier collaboration, and oversee an offshore sourcing support function (Deal Desk). You will collaborate closely with cross-functional teams including Business Applications, IT, Finance, and Legal to ensure procurement systems and operations are effectively aligned with enterprise goals. As a strategic leader, you will play a pivotal role in shaping and executing a scalable, future-ready procurement systems strategy, driving continuous improvement, and ensuring seamless integration of procurement activities with broader business processes. In this role, you will: Lead procurement operations team and oversee procurement policies, processes and tools. Drive process standardization and automation initiatives to improve operational efficiency. Define and implement system strategy and roadmap for procurement platforms (ERP, eProcurement, etc.). Lead reporting, analytics, and dashboards to inform procurement strategic decisions. Coach and mentor team members; contribute to talent development and succession planning. Establish a vendor solution for transactional and tactical sourcing and procurement activities. Develop and monitor KPIs, SLAs, and compliance metrics across procurement activities. Manage vendor relationships related to procurement systems and tools. Serve as key business partner to cross functional partners including IT, Finance, Legal, and Compliance. Qualifications 10+ years of procurement experience, preferably in a high-growth or complex environment. 5+ years of experience developing and deploying procurement processes and tools. 3+ years of experience leading teams, with a strong ability to develop and mentor direct reports. Expertise in procurement process & systems strategy, operations, and compliance, including industry best practices. Proven experience in business partnerships, vendor management, supplier negotiations, and optimizing external partnerships. Extensive experience with procurement platforms (e.g., Ariba, ERP, eProcurement) and an understanding of system configurations and reporting/analytics. Strong operational, analytical, and project management skills, with the ability to manage multiple priorities effectively. Bonus Qualifications Experience with financial tools and budget management. Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. 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. 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. About Zoox 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. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: 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.

Zoox’s System Design and Mission Assurance (SDMA) team constructs the Safety Case and validates that our vehicles are safe to be deployed for autonomous driving. The SDMA Platform Safety Assurance team enables Zoox to rapidly iterate and safely expand capabilities through trustworthy, innovative, and pragmatic safety engineering. As a manager of systems verification and validation engineers at Zoox, you will be leading a team that works cross-functionally with requirements definition, vehicle engineering, and firmware development teams to build an integrated platform that is the foundation for safe autonomous driving. The team primarily develops and executes automated system HIL tests. You are responsible for the verification and validation strategy, test execution and reporting, and ensuring the Zoox Robots meet end-to-end safety and performance requirements in line with the goals of Zoox milestones. In this role you will Lead, manage, and grow a team of Systems Verification Engineers who have expertise on the robot platform safety case and HIL testing. Design effective and efficient test programs to achieve test coverage and full system validation of safety requirements and scenarios, drawing on analysis, simulation, Hardware in the Loop (HIL) testing, and vehicle testing. Analyze system safety requirements to understand the safety concept and define test methodology, providing feedback on testability. Design, develop, and operate test equipment and test automation infrastructure. Develop and execute the technical and logistical planning of tests including cross-functional coordination with other teams: systems engineering, firmware, vehicle engineering, operations, software HIL, AI software, and program management. Participate in change control board reviews of hardware and software changes to evaluate safety impact. Qualifications B.S. or higher in Mechanical Engineering, Electrical Engineering, Systems Engineering, Computer Engineering, Computer Science or a related technical degree At least 7 years of relevant professional experiences in the fields of Systems Verification and Validation of electro-mechanical systems, including a minimum of 2 years managing a team Possesses excellent EQ with an empathetic communication style that fosters connection, collaboration and motivation Strong written and in-person communication skills Experience with automated testing Experience testing safety critical systems Experience with fault injection testing Bonus Qualifications Experience with an autonomous vehicle development company, an automotive company, robotics technology company, or their suppliers Experience with Python testing frameworks (pytest, robot, etc.) Experience with the incorporation of AI technology into end-to-end test automation frameworks to improve efficiency and productivity Experience with functional safety standards such as ISO 26262, ARP 4754, ARP 4761, or IEC 51511 Familiar with automotive communication protocols and tools: Ethernet, CAN, LIN Compensation 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 $189,000 to $238,000. 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. 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. About Zoox 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. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: 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.

The Electrical Architecture team at Zoox delivers system design and electrical architectures required to achieve a high level of system reliability on vehicles. As the Vehicle System Integration Technical Program Manager (TPM), you will develop the electrical architecture roadmaps through Zoox’s configuration management tool, identify the required workload required for execution, align timeline with stakeholders and download customers, identify roadblocks (related to timing, resources or missing inputs), escalate issue for reconciliation and finally support the tasks owners on the execution progress providing weekly status on program management forums. This is a highly cross-functional role, requiring constant communication with firmware, hardware, product, and mission planning teams. One key task is to propagate lessons learned among these teams to improve efficiency and execution of subsequent development phases. In this role, you will: Coordinate the Vehicle Electrical Architecture timing plan and delivery with thought and energetic leadership, including supporting architecture alignment, hardware requirements definition development, software/firmware stakeholder needs, electrical architecture validation, electrical architecture integration, cross-functional alignment, and company-wide communication. This will be done in close partnership with the technical leads and other core team members across multiple departments. Work with cross-functional teams and other program managers to gain alignment with the delivery plan and drive accountability to execute the plan. Raise awareness and escalate risks to delivery. Work with department leaders to translate the top-down corporate milestones into detailed product roadmaps, timelines, and deliverables Maintain electrical architecture design documents, assets control, and drive communication channels that ensure every team member understands what they need to deliver. Work with component owners organizations to ensure the Electrical Architecture definitions align with component development plans as well that delivered parts support the Electrical architecture verification and validation activities. Work with all relevant departments as needed to ensure the successful delivery of our goals, including the Program Management Office, SW/FW teams, HW teams, safety teams and vehicle manufacturing teams. Drive accountability Provide concise and effective communications to key stakeholders on program status, issues/risks, and accomplishments, in writing and via presentations. Facilitate non-technical conversations (and technical ones as needed), align team perspectives, and support the development of options matrices to help the cross-functional program team make the right decisions Bring a disciplined business and meeting cadence to the program, ensuring agendas are set for critical topics to be discussed at each meeting Lead the continuous improvement of development processes. Qualifications BS or MS degree in electrical engineering discipline or equivalent experience At least 10 years of work experience, and at least 5 of those in program management Experience with vehicle electrical systems development and HW/SW integration Proficiency in using tools and process required to manage complex projects (i.e. Agile, JIRA, Smartsheet). Strong track record in managing complex, cross-functional projects Understands and deals well with rapid design cycles; remains flexible and calm in the face of uncertainty Self-motivated and proactive problem-solver Bonus Qualifications Experience working in the automotive industry, or prior experience developing Automotive Electrical Architectures or Automotive Electrical Systems Strong references that highlight your ability to build strong working relationships with senior leaders and engineers across functions and departments Demonstrated leadership in scaling Agile across technical programs. Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. 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. 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. About Zoox 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. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: 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.

We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable. We’ve created our vehicle specifically for dense, complicated urban environments. Zoox is the only driving vehicle on the market with bidirectional driving capabilities and four-wheel steering, allowing us to maneuver through compact spaces and change directions without the need to reverse. The future is for riders! Our growing software engineering leadership team is searching for a Senior Manager of Perception. Our perception stack is responsible for building Zoox’s world-class 3D environment model from multi-modal sensor data. We create novel AI architectures that combine the latest academic results with many in-house innovations in creative ways. Our algorithms are relentlessly optimized and tuned to run efficiently and effectively on a wide variety of real-life data as well as in simulation. You will be responsible for leading high-impact Perception teams with their technical roadmap and milestone goals. You will be closely collaborating with other AI and SW leaders, simulation, and our systems design and mission assurance teams to deliver an exceptional dynamic objects perception system encompassing modalities such as vision, lidar, radar and long-wave IR across pipelines such as segmentation, detection, classification, fusion and tracking. You will lead a diverse, experienced team with a rapidly growing scope and responsibility while also working on some of the most complex problems in artificial intelligence, perception, and sensor fusion. In this role, you will: Build and lead a group of managers and engineers, and be responsible for the team’s roadmap, productivity, execution and impact within the company. Set the vision for, grow, and lead a team of talented software engineers in the overall planning, execution, and success of complex technical projects, while providing the team with technical leadership. Collaborate with engineers and leaders across a variety of teams to brainstorm and accelerate the development of perception capabilities. Provide clear summaries, progress, and recommendations to our executive leadership team. Establishing best practices and statistical rigor around data-driven decision-making. Stay on top of industry and academic trends in AI and perception, making sure Zoox remains at the cutting edge of both algorithms and their implementation at scale. Qualifications Strong understanding of computer vision systems and AI software stacks. 5+ years of extensive leadership experience, leading teams of 20+ 10+ years of experience in computer vision, machine learning and related technologies. Strong leadership skills suitable for recruiting, leading, growing, and managing technical team members in solving a challenging problem, and building a critical component of a real-time system. Recent experience in implementing vision & perception algorithms. Expertise in implementing autonomy solutions and deploying real-world systems. Experience with recent AI approaches including E2E models for perception, transformers and sparse networks. Experience with sensor fusion and uncertainty modeling across multiple modalities. Strong presentation and communication skills. MSc or PhD in Robotics, Computer Science or related fields. Bonus Qualifications Familiarity with perception of autonomous vehicles or similar robots Hands-on experience having deployed real products or platforms into the real world, and intimately understanding the challenges of working with complex systems Involvement in validation or evaluation of risk and/or safety-critical systems Knowledge of GPU and/or TPU programming (CUDA, TensorRT, etc.) Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. 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. 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.

The HD Mapping team is seeking an experienced fullstack engineer to lead the development of the web services that supports creation, cataloging, and maintenance of the HD maps deployed to Zoox’s fleet. This role will be instrumental in scaling our mapping operations across cities. In this role, you will: Own and architect backend services (FastAPI) for the HD Mapping team's web infrastructure Support development of frontend tools for interacting with Zoox’s maps Automate complex pipelines and workflows Mentor team members on web technologies and distributed systems Qualifications: 3 years or more of industry experience in backend development and distributed systems Comfortable establishing guidelines and refactoring existing code to follow best practices Knowledge of database design and API development Proven ability to lead technical initiatives and mentor others Bonus Qualifications: Experience with FastAPI, Kubernetes, and ArgoCD Knowledge of geospatial data and coordinate systems Experience automating complex workflows (Airflow) Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. 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. 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.

Zoox is developing state of the art autonomous vehicle software for our purpose built vehicle. We believe that developing the end to end product will not only get us to market faster but will also result in a superior customer experience. We are looking for a software engineer to help build our full-stack web-based platform for visualizing autonomous robot data. These internal services are central to the development of autonomous driving and transportation-as-as-service, providing Zoox the capability to visualize robot data, gain insight into the robot’s behavior, and iterate on our self-driving software stack. You will work closely with autonomous driving software engineers to design feature-rich applications and identify new opportunities for internal tools at Zoox. In this role, you will: Develop intuitive user interfaces with Vue.js , HTML & CSS. Develop 3D visualizations to fuse complex, dynamic data streams into accessible representations to a wide array of users. Maintain and extend multiple performant backend data pipelines and microservices. Collaborate with engineers to define and iterate on great solutions to their product needs. Maintain high service uptime and stability as Zoox scales. Solve complex technical challenges to deliver consistently great performance in a large and constantly evolving application. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field with 5+ years of industry experience. Fluency with at least one modern JS framework: Vue, Angular, or React. Experience with JavaScript, HTML & CSS. Well-rounded understanding of web technologies. Strong communication skills. User-centric approach to product development and ability to tackle open-ended challenges Bonus Qualifications Experience with three.js , Babylon.js , or another 3D rendering engine. Backend development experience using C++ and Python. Compensation 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 $147,000 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. 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. About Zoox 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. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: 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.

We have a once-in-a-century opportunity to reinvent personal transportation—and we need your help. The Manufacturing Operations Program Manager will report directly to the Vice President of Manufacturing Operations (MO) and lead the development and implementation of strategic initiatives. This role will be integral in the change management process as we continue to scale manufacturing operations and move toward mass production. You will work highly cross-functionally and bring together all of the necessary teams to execute our mission. In this job, you will: Serve as strategic and operational support to the VP of MO and Directors, with a focus on facilitating communication and boosting "change management" for the execution of the MO Industrial Plan and Business Work Streams within the Zoox Integrated Roadmap. Strategically, support the development and execution of strategic plans, ensuring alignment with organizational goals. You will support day-to-day operations, promote standard methodologies for forecasting and reporting, and coordinate cross-functional activities to eliminate internal barriers and unify information formats. Act as a liaison between the executive and various stakeholders, facilitating smooth information flow, coordinating initiatives and events, and actively gathering feedback and perspectives. You will also support the decision-making process by conducting research, gathering input, analyzing data, and synthesizing recommendations. Play a crucial role in driving organizational change initiatives. This includes developing the appropriate narrative, ensuring alignment with the organization's culture and values, and supporting the implementation of the strategies through a clear definition of the relevant tactical activities. Operate strategically with hands-on/tactical awareness, cross-functional solid leadership skills, excellent communication abilities, and the capacity to navigate complex organizational dynamics. Qualifications Master's degree in Business Administration, Industrial Engineering, or a related field. Minimum of 10 years of experience in a similar role, within the manufacturing industry with a program management responsibility role. Highly organized, excellent attention to detail, ability to prioritize and multitask, respecting deadlines in a fast-paced environment, maintaining clear communication. Demonstrated experience in strategic planning, change management, and operational execution. Strong analytical skills with the ability to conduct research, gather input, and present data-driven recommendations. Positive attitude and self-starter with the ability to forge strong cross-functional relationships Bonus Qualifications Experience in writing technical documents Training/Degree in Communication PMP Certification Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. 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. 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. About Zoox 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. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: 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.

Zoox’s Talent Acquisition team is looking for a recruiter to focus on hiring and shaping our core business teams including Finance, Procurement, Legal, Policy, People Operations, Communications, and Product. You will join our Business and Product Recruiting Team and manage a diverse set of roles that range from entry-level to experienced hires. You will work closely with hiring managers and will be given ownership of the entire recruiting process including managing clients, qualifying requirements, sourcing, recruiting, and closing world-class talent. This position demands a balance of teamwork, creativity, and interpersonal skills. You will be expected to act as an ambassador of the brand and must be able to deliver results in a fast-paced work environment. Responsibilities Manage full-cycle recruiting process with emphasis on strong hiring manager partnership and effective candidate advocacy Source candidates, screen resumes, and evaluate candidates to determine fit Facilitate interview and hiring decision-making processes with interviewers, hiring managers, and company leadership Manage offer process, partnering with hiring managers, leadership, and HR teams Continuously and independently seek new ways to improve both the candidate experience and recruiting process Qualifications 6+ years of full-cycle recruiting experience in a competitive industry (sourcing, screening, and closing candidates) with at least 2+ years of experience recruiting for Business or Product roles Experience partnering directly with Hiring Managers Experience effectively evaluating candidates for both behavioral fit and role competencies Experience directly sourcing passive candidates using LinkedIn Recruiter, and other sourcing tools Experience in a fast-paced and ever-changing environment Bonus Qualifications Bachelor's Degree Interest in the autonomous and electric vehicle industry Expertise in leveraging an ATS (we use Lever) to build metrics, sourcing strategies, and talent pipelines Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. 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. 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. About Zoox 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. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: 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.

As our Logistics Manufacturing Manager, you will be responsible for day-to-day operations for the manufacturing warehouse, including receiving, stocking, inventory management, and line-side delivery to the manufacturing lines. You will also be responsible for planning, developing, and improving warehouse processes, as well as supporting two assembly plants within the Zoox network. Additionally, you are responsible for hiring and developing the warehouse teams across while scaling operations. In this role, you will: Lead day-to-day warehouse operations within Zoox manufacturing plants, ensuring timely and efficient material flow to General Assembly and subassembly lines. Partner with Manufacturing, Industrial Engineering, and Material Planning to strengthen kitting, line-side delivery, and replenishment processes. Develop and implement logistics strategies that ensure Just-in-Time (JIT) material delivery to production lines at optimal cost and quality. Contribute to Zoox’s transition toward full-scale production by strengthening warehouse processes, systems, and team capabilities. Build, train, and develop high-performing warehouse teams capable of supporting rapid volume growth and evolving production needs. Establish and maintain standardized work, visual management, and lean warehousing practices (5S, Kaizen, continuous improvement). Ensure operational readiness and preventive maintenance of warehouse equipment, such as forklifts, AMRs, and conveyors, while enforcing robust safety and ergonomic standards. Monitor budget forecasts and performance, identify cost drivers, and implement corrective actions to maintain financial discipline. Define and track key performance indicators (KPIs) to drive improvements in cost, quality, and service levels. Act as the primary liaison between Logistics, Manufacturing, Engineering, and Supplier Operations to ensure material readiness and operational alignment. Develop and implement the safety guidelines to ensure team safety Manage day-to-day operations of warehouse activities, including receiving, kitting, cycle counting within multiple facilities Communicate clearly and effectively with internal and external stakeholders to ensure Logistics is providing high-quality service. Including but not limited to, Zoox Logistics, Engineering, and Service Operations Qualifications 12+ years of leadership experience managing teams across multi-shift warehouse / material handling in manufacturing environments, supporting high-mix or ramp-up production. Automotive OEM experience in a complex environment Experience with SAP S/4HANA and WMS systems Strong communication, teamwork, problem-solving, and interpersonal skills Ability to lead and commute to different warehouse locations (SF Bay Area) – must be flexible Bonus Qualifications Bachelor’s degree in Engineering, Supply Chain, Logistics, or related field; advanced degree preferred. Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. 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. 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.

We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable. We’ve created our vehicle specifically for dense, complicated urban environments. Zoox is the only driving vehicle on the market with bidirectional driving capabilities and four-wheel steering, allowing us to maneuver through compact spaces and change directions without the need to reverse. The future is for riders! Our growing software engineering leadership team is searching for a Director of Calibration, Localization, and Mapping (CLAMS). Our CLAMS organization is responsible for building the algorithms and tools necessary for keeping Zoox vehicles well calibrated, always knowing where they’re located within the world, and aware of their environment. We create novel architectures that combine the latest academic results with many in-house innovations in creative ways. Our algorithms are relentlessly optimized and tuned to run efficiently and effectively on a wide variety of real-life data as well as in simulation. The CLAMS Localization team develops the on-vehicle software for estimating the vehicle's position and motion. This role is for a manager to lead a sub-team within Localization, focused on offline systems used for developing and testing the on-vehicle software, as well as ensuring the seamless integration of the system into operational work flows. In this role, you will Develop roadmap and handle strategic planning for the team. Manage the delivery of technical goals of the team. Manage the technical and career development of the team members. Provide overarching technical guidance including system architecture and algorithm development. Qualifications Experience with state estimation / SLAM systems, ideally with camera and/or lidar components Experience leading a team of engineers to deliver high level technical goals, ideally 3 reports or more Software engineering experience in C++ and Python Bonus Qualifications Experience with scaling software systems to large scale operations Experience with large scale software infrastructure Compensation 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 $230,000-$289,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience. 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.

Zoox is seeking a highly skilled and motivated Technical Program Manager to lead Progress Metrics workstreams that ensure riders safely complete their journeys. This role is focused on planning and executing Progress Metrics workstream for each milestone, analyzing data, communicating insights, and taking action to guide cross-functional teams to achieve the metrics and unblock milestones. The ideal candidate will excel in both data-driven analysis and effective communication, ensuring that insights translate into impactful decisions and actions. In this role, you will: Oversee daily review of the Progress Metrics performance, analyze data to identify trends, and drive continuous improvements. Collaborate with Engineering, Safety Strategy and Operations, Policy, Legal, Comms and PR, and Fleet Operations teams to interpret data, manage issue burndown, and deliver actionable insights. Present updates in executive forums, escalate critical issues, and make informed decisions aligned with corporate milestones and timelines. Manage the end-to-end metrics pipeline, ensuring accuracy, reliability, and timeliness of data collection, reporting, and process enhancement. Balance hands-on tasks such as event triaging with high-level strategic planning to enable data-driven decisions and improve metrics methodologies. Qualifications Bachelor’s degree in Data Science, Statistics, Engineering, Business, or a related field. Advanced degrees or relevant certifications are a plus. 5+ years of proven experience in data analysis, metrics management, engineering, consulting, or program management Ability to plan and manage complex milestone-based programs, identify critical paths, and drive teams to meet technical deadlines. Proficient analytical skills with the ability to translate complex data into actionable insights. Proficiency in tools such as Jira, Looker, Tableau, or PowerBI for tracking progress, managing workstreams, and visualizing data. Demonstrated ability to work effectively across technical teams and communicate clearly and concisely with engineers and technical stakeholders. Strong problem-solving skills and a proactive approach to identifying and addressing issues. Bonus Qualifications Experience building out a product, program, or large-scale process from Concept to production Experience in software, hardware, and/or automotive technology Experience with fail-operational system design Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. 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. 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. About Zoox 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. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: 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.

Zoox has embarked on a highly ambitious journey to develop a full-stack autonomous mobility solution for our cities. As a technical program manager, you will work cross-functionally with engineering leaders across software, hardware, vehicle engineering, and product to drive our corporate strategy into tactical and detailed road maps that facilitate effective execution at each stage of our growth curve. You will work with each engineering team to develop project schedules, identify milestones, flag risks, estimate budgets, and clearly communicate ongoing progress. This role is focused on managing Simulation programs and working cross-functionally with partner teams across the organization. Simulation is essential for Zoox to rapidly iterate on our driving software and hardware, and to validate our safety before we drive in the real world. We create virtual worlds to challenge our robots, from real world data, entirely novel scenarios, or a combination of both. Our simulations need to run at a huge scale to cover everything that might happen, and to help prove our driving to be safe. In this role, you will: Partner with engineering managers in the respective Simulation teams to translate the top-down corporate strategy and milestones into detailed product roadmaps, timelines, and deliverables Drive cross-functional teams across Simulation to build and execute on solutions for improving our simulations. Drive cross-functional programs with Simulation customer teams. Highlight potential risks and proactively build out risk-mitigating actions Build and deliver executive presentations on program status, issues/risks, and accomplishments Qualifications BS or MS degree in computer science, engineering or equivalent job experience At least 8 years of experience in engineering, program management, or management consulting Experience developing real-time software in fields such as simulation, robotics, automotive, aviation, game development, traffic simulation, etc. Strong track record of managing complex cross-functional projects Deep familiarity with software development processes & proficiency in tools or processes required to manage complex projects (i.e. Gantt charts, risk matrix, Smartsheet, JIRA, etc.) Strong references that highlight your ability to build strong working relationships with senior leaders and engineers across functions and departments An ability to keep the big picture in focus and to provide clear, well-structured, and concise communications tailored to each appropriate audience. Bonus Qualifications Experience in simulation for autonomy, robotics, or aerospace system validation: Experience (5+ years) managing simulation programs with a solid understanding of simulation as a technical domain. Familiarity with large scale simulation on cloud compute resources, simulation of agent behavior, sensor simulation, vehicle dynamics, synthetic data generation, simulation results tooling. Compensation and Benefits 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 $273,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience. 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.

As the Director of Production, you will lead all aspects of vehicle assembly, diagnostics, testing, and End-of-Line (EOL) processes, ensuring the successful build and validation of Zoox vehicles. You will oversee daily factory operations, managing, coordinating, planning, and directing the production team to meet production volume and quality targets while maintaining a safe working environment. Reporting to the Senior Director of Manufacturing Engineering and General Assembly, you will be a critical leader in the Zoox Manufacturing Operations team. Your responsibilities will encompass hiring, training, and performance evaluation of direct and indirect employees, analyzing production data, driving process improvements, and leading workplace safety best practices. You will guarantee that finished products meet all quality and product specifications. Possessing strong communication skills, you will serve as the primary point of contact for the executive team regarding all General Assembly matters. You will also manage financial and headcount budgets. The Manufacturing Engineering and Logistics teams will support the Production team, and you will collaborate closely with Corporate Quality, Supply Chain, and various Engineering Departments (e.g., Vehicle Development, Software) within Zoox. In this role you will: Production Planning and Execution: Develop and execute production plans aligned with vehicle demand while collaborating with other relevant Zoox stakeholders. You will focus on defining and adapting production capacity, including productivity, shift definitions, and quality yield capabilities. Safety Leadership: Establish a culture prioritizing employee and product safety in collaboration with EHS partners. Operational Excellence: Implement the Operational Excellence program (Zoox Production System) and Industry 4.0 principles. Budget Management: Prepare and adhere to OPEX and CAPEX budgets, define and oversee new investments in collaboration with Manufacturing Engineering, and develop cost optimization strategies. New Product Introduction (NPI): Successfully introduce new products into the production line in collaboration with Manufacturing Engineering and other Engineering teams. Process Quality Assurance: Drive product quality by implementing repeatable processes and meeting defined quality standards (Cpk). Line Systems: Ensure that IT Systems/Business Applications (MES, SC QMS) provide the required level of functionality and support for the production and drive their continuous improvement Qualifications Bachelor’s degree in Engineering, Management, or a related field. 20+ years of experience in managing vehicle or complex electromechanical assemblies (e.g., aircraft, robots) manufacturing. 5+ years of experience in a production/plant management role. Familiarity with advanced manufacturing systems and processes (MES, ERP, automation). Deep understanding of automotive manufacturing processes and optimization strat egies. Experience identifying and implementing capital upgrades to manufacturing facilities. Compensation 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 $271,000 to $341,000. 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. 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. About Zoox 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. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: 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.

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. The Opportunity Are you excited to manage our ML Training Platform that enables autonomous driving? You will get to work across all ML teams within Zoox - Perception, Prediction, Planner, Simulation, Collision Avoidance, Data Science, etc., and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox. This team builds and operates the core part of the ML platform that powers model training at scale. We are responsible for developing and operating ML tools, deep learning frameworks, and distributed model training infrastructure to support foundational models and reinforcement learning. This team also owns the model repository and model lifecycle management tools 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 here . In this role, you will Vision : Develop and execute a strategic vision for our ML training platform, ensuring scalability, reliability, and performance to support large-scale Foundation and RL models. Technical acumen : Lead the design, implementation, and operation of a robust and efficient ML training platform to enable the training, experimentation, validation, and monitoring of ML models. Hiring : Attract, hire, and inspire a diverse world-class engineering team, fostering a culture of innovation, collaboration, and excellence. Partnership : Collaborate closely with cross-functional teams, including ML researchers, software engineers, data engineers, and hardware engineers to define requirements and align on architectural decisions. Mentorship : Enable the engineers in the team to grow their careers by providing the right opportunities along with clear and timely feedback. Qualifications 8+ years of total experience, including 3+ years of engineering management experience. Excellent leadership skills with a demonstrated ability to build and manage high-performing engineering teams. Experience enabling large-scale, cost-efficient distributed model training and ML compute infrastructure. Experience with training frameworks such as PyTorch, Hugging Face, Ray, DeepSpeed, JAX, etc., leveraging GPUs, TPUs, or Trainium. Experience building model lifecycle management tools and managing AWS costs for our ML needs. Compensation 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 $230,000 to $315,000. 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. 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. Vaccine Mandate Employees working in this position will be required to have received a vaccine approved by the U.S. Food and Drug Administration and/or the World Health Organization. In addition, employees who are eligible for a COVID-19 booster vaccine (“Booster”) will be required to receive a Booster. Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

Do you enjoy applying machine learning to complex, real-world problems in autonomous vehicle testing? The Simulation Scenario Authoring team owns the formats and tools used to create synthetic simulation scenarios. We are looking for a hands-on ML Engineer to integrate, implement, and optimize our next-generation AV scenario generation workflow. This ranges from extending our AI assistant to advancing toward full scenario creation automation from natural language test specification. This role offers a unique chance to deliver immediate user impact while contributing to long-term AI-driven safety validation. In this role, you will: Integrate and validate LLMs/VLMs and implement other models for complex scenario generation workflows, leveraging techniques like advanced prompting, agentic tool use, and more. Contribute to tooling for AI-based scenario understanding and validation. Collect data and design metrics to drive business intelligence, product iteration, and model fine-tuning. Collaborate directly with internal customers and partner teams to provide generative AI solutions for their test creation workflows. Directly contribute to the safety and reliability of Zoox's autonomous software. Qualifications MS or PhD in Computer Science, Machine Learning, or related field 2+ years of industry experience in Machine Learning Solid understanding of LLM or NLP concepts Proficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projects Bonus Qualifications Practical experience in dataset creation for fine-tuning, system integration of ML models into production, or optimization techniques for low-latency inference systems Familiarity with autonomous vehicles, robotics, and/or complex simulation environments Hands-on experience in areas like program synthesis, diffusion models, and/or formal methods/V&V Relevant publications in conferences (e.g., CVPR, ICCV, RSS, and/or ICRA) Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. 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. 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.

The Prediction & Behavior ML team is responsible for developing machine learning (ML) algorithms that learn and predict behaviors from data, applying them both on-vehicle to influence driving behavior and off-vehicle to provide ML capabilities to simulation and validation. Given the tight integration of behavior forecasting and motion planning, our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance. As a Learned Trajectory Machine Learning Engineer you will be responsible for developing deep learned models that produce trajectories for our vehicles to drive. Given the tight integration of behavior prediction and motion planning, you will closely collaborate with the Planner and Perception teams in the advancement of our overall vehicle behavior. In this role, you will: You will develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for our autonomous vehicle. You will also work on techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort etc. You will leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field You will develop metrics and tools to analyze errors and understand improvements of our systems You will collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments Qualifications BS, MS, or PhD degree in computer science or related field Experience with training and deploying transformer-based model architectures and reinforcement learning Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines Fluency in C++ or fluency in Python with a basic understanding of C++ Extensive experience with programming and algorithm design Strong mathematics skills Bonus Qualifications Conference or Journal publications in Machine Learning or Robotics related venues Prior experience with Prediction and/or autonomous vehicles or robotics in general Compensation 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 $230,000 to $332,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience. 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.