Information Technology Project Manager jobs at Zoox - 47 jobs

Job DescriptionZoox is scaling manufacturing and service operations to prepare for the commercial deployment of our autonomous mobility service. As we ramp vehicle production and elevate operational readiness across sites, our manufacturing teams must be trained, certified, and fully equipped to support the fleet at scale. We are seeking a Technical Program Manager (Manufacturing Training & Coordination) who will support the training lifecycle for manufacturing roles. This role will drive workforce competency development, define and maintain training standards, and ensure that every technician, lead, and supervisor is trained to build, diagnose, and service vehicles safely and consistently. This is not just a program management role. It requires someone who can partner deeply with the technical writers, technicians, warehouse associates, and SMEs - while also being hands-on in designing training systems, delivering workshops, building curricula, and enabling a culture of continuous learning across Manufacturing Operations.In this role, you will: Lead job analysis and competency design by developing role-based skill maps, certification levels, and capability matrices across all manufacturing teams Define and oversee training content strategy, guiding technical writers, engineers, and SMEs in creating and maintaining SOPs, job aids, assessments, multimedia content, and simulation-based training Ensure training accuracy and compliance by aligning all materials with the latest process updates, PFMEAs, quality requirements, work instructions, and safety standards Develop and execute train-the-trainer programs, equipping leads and supervisors to deliver consistent, high-quality hands-on instruction; directly facilitate technical and instructional training sessions as needed Analyze training gaps, process deviations, and quality issues, translating insights into updated training plans; establish KPIs, dashboards, and audit-readiness metrics to measure training effectiveness and operational impact Manage a centralized training calendar and cross-facility coordination, ensuring scheduling across shifts and communicating program status, risks, and readiness to manufacturing and leadership teams Qualifications Bachelor's degree in Engineering, Operations, Industrial Technology, Learning & Development, or related field 5+ years of experience in manufacturing, operations, training development, or technical program management Proven experience building technical training programs, including competency frameworks, skill certification systems, and hands-on training delivery in manufacturing or engineering environments Skilled in developing high-quality training content, such as SOPs, job aids, assessments, and multimedia learning materials Strong program management skills with experience coordinating large-scale, cross-functional initiatives Excellent written and verbal communication skills, including the ability to simplify complex technical processes into teachable content 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 ZooxZoox 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 AccommodationsIf 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 may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Zoox is scaling manufacturing and service operations to prepare for the commercial deployment of our autonomous mobility service. As we ramp vehicle production and elevate operational readiness across sites, our manufacturing teams must be trained, certified, and fully equipped to support the fleet at scale. We are seeking a Technical Program Manager (Manufacturing Training & Coordination) who will support the training lifecycle for manufacturing roles. This role will drive workforce competency development, define and maintain training standards, and ensure that every technician, lead, and supervisor is trained to build, diagnose, and service vehicles safely and consistently. This is not just a program management role. It requires someone who can partner deeply with the technical writers, technicians, warehouse associates, and SMEs - while also being hands-on in designing training systems, delivering workshops, building curricula, and enabling a culture of continuous learning across Manufacturing Operations.In this role, you will: Lead job analysis and competency design by developing role-based skill maps, certification levels, and capability matrices across all manufacturing teams Define and oversee training content strategy, guiding technical writers, engineers, and SMEs in creating and maintaining SOPs, job aids, assessments, multimedia content, and simulation-based training Ensure training accuracy and compliance by aligning all materials with the latest process updates, PFMEAs, quality requirements, work instructions, and safety standards Develop and execute train-the-trainer programs, equipping leads and supervisors to deliver consistent, high-quality hands-on instruction; directly facilitate technical and instructional training sessions as needed Analyze training gaps, process deviations, and quality issues, translating insights into updated training plans; establish KPIs, dashboards, and audit-readiness metrics to measure training effectiveness and operational impact Manage a centralized training calendar and cross-facility coordination, ensuring scheduling across shifts and communicating program status, risks, and readiness to manufacturing and leadership teams Qualifications Bachelor's degree in Engineering, Operations, Industrial Technology, Learning & Development, or related field 5+ years of experience in manufacturing, operations, training development, or technical program management Proven experience building technical training programs, including competency frameworks, skill certification systems, and hands-on training delivery in manufacturing or engineering environments Skilled in developing high-quality training content, such as SOPs, job aids, assessments, and multimedia learning materials Strong program management skills with experience coordinating large-scale, cross-functional initiatives Excellent written and verbal communication skills, including the ability to simplify complex technical processes into teachable content About ZooxZoox 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 AccommodationsIf 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 may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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 engineering teams to develop project schedules, identify milestones, flag risks, estimate budgets, and clearly communicate ongoing progress. The role is focused on managing programs related to our use of cloud resources, which are the core resources the company relies on for compute, storage, and networking services. As a member of this team you will be in a critically important position at the intersection of finance and technology to influence cost savings, operational efficiency, and the scalability of our services. With plans to rapidly scale our service over the coming years, doing so in an efficient way is essential for the success of our robotaxi business. In this role, you will: Partner with Software Engineering, Finance, IT, and Technical Program Management to drive technical programs focused on cloud optimization and efficiency. Create project plans including prioritizing features, understanding dependencies, and estimating timelines. Highlight potential risks and proactively build out risk-mitigations. Develop metrics to attribute costs, measure efficiency, and estimate ROI. Represent your programs in cross-departmental forums, with key stakeholders, and in executive meetings. Inform on our strategy, roadmap, and KPIs to drive meaningful improvements and ensure our business is built to scale effectively. Qualifications BS or MS degree in Computer Science, Engineering or equivalent practical experience. At least 4 years of experience in engineering, program management, or management consulting Hands on experience with large-scale production environments on major cloud providers (e.g. AWS) Strong track record of managing complex cross-functional projects, especially with an efficiency improvement focus Deep familiarity with software development processes & proficiency in tools or processes required to manage complex projects (i.e. Gantt charts, risk matrix, JIRA, etc.) 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 with demand forecasting and capacity planning Familiarity with corporate financial planning including accounting, budgeting, and reporting.

Job DescriptionZoox 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 engineering teams to develop project schedules, identify milestones, flag risks, estimate budgets, and clearly communicate ongoing progress. The role is focused on managing programs related to our use of cloud resources, which are the core resources the company relies on for compute, storage, and networking services. As a member of this team you will be in a critically important position at the intersection of finance and technology to influence cost savings, operational efficiency, and the scalability of our services. With plans to rapidly scale our service over the coming years, doing so in an efficient way is essential for the success of our robotaxi business. In this role, you will: Partner with Software Engineering, Finance, IT, and Technical Program Management to drive technical programs focused on cloud optimization and efficiency. Create project plans including prioritizing features, understanding dependencies, and estimating timelines. Highlight potential risks and proactively build out risk-mitigations. Develop metrics to attribute costs, measure efficiency, and estimate ROI. Represent your programs in cross-departmental forums, with key stakeholders, and in executive meetings. Inform on our strategy, roadmap, and KPIs to drive meaningful improvements and ensure our business is built to scale effectively. Qualifications BS or MS degree in Computer Science, Engineering or equivalent practical experience. At least 4 years of experience in engineering, program management, or management consulting Hands on experience with large-scale production environments on major cloud providers (e.g. AWS) Strong track record of managing complex cross-functional projects, especially with an efficiency improvement focus Deep familiarity with software development processes & proficiency in tools or processes required to manage complex projects (i.e. Gantt charts, risk matrix, JIRA, etc.) 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 with demand forecasting and capacity planning Familiarity with corporate financial planning including accounting, budgeting, and reporting. 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 may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The Program Management Office (PMO) at Zoox is responsible for driving cross-functional program planning and execution at the highest level. We partner with leaders from across the company in vehicle development, system design, software engineering, manufacturing, fleet operations, and business functions to develop and deliver major corporate milestones on the path to launch and beyond. If you like to work in a fast-paced team that communicates and collaborates closely with the broader Zoox organization but has fun in doing so, we would like to hear from you. In this role, you will: Lead the execution of a ZR (Zoox Release) company product/service milestone, which will include establishing a milestone execution test strategy and feature lock working with partner functional teams like systems engineering, vehicle engineering, software development, and manufacturing operations. Define KPIs and other methods to measure milestone success metrics that best translate progress toward business goals - you will also drive getting appropriate buy-offs on these metrics in executive decision forums. Provide concise and effective communications to key stakeholders (functional engineering mgmt, engineering leadership, & executive leadership) in various company tracking and decision-making forums (Command Center, ZPR, Weekly All Hands) on ZR program status, issues/risks, and accomplishments. Have a strong understanding of one or more of these areas - vehicle platforms, software lifecycle, safety clearance process, and test operations Collaborate with software, hardware, systems engineering, and operations teams to burn down issues and flag issues to ensure there is an appropriate handoff to the right team and issues blocking a ZR release have the appropriate amount of attention within the organization. Qualifications BS or MS degree in an engineering discipline or equivalent engineering experience in lieu of an engineering degree At least 8 years of experience in engineering or program management with a focus on product launches and/or validation and testing Proven track record of managing complex cross-functional projects Experience with automotive or aerospace processes, OR have experience with test platforms, simulation, autonomous vehicles, OR verification & validation (V&V) disciplines Proficient in tools or processes required to manage complex projects (i.e., Gantt charts, risk matrix, Smartsheet, JIRA, etc.) Ability to concisely and effectively communicate at the senior executive level of the organization Bonus Qualifications Project Manager Professional certification (PMP) or equivalent Experience with autonomous vehicles, test platforms, simulation, and/or automotive or aerospace processes is highly desired Experience with developing and scaling strategies, processes, plans, procedures, reporting, and handling escalations About ZooxZoox 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 AccommodationsIf 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 an ambitious journey to develop a full-stack autonomous mobility solution for cities and to safely deploy a purpose-built robotaxi. Our System Design and Mission Assurance (SDMA) team plays a foundational role in this mission by constructing the safety case for each critical milestone. We are seeking a Senior Technical Program Manager or above to lead the cross-functional Safety Clearance program for Zoox's autonomous software and robot platform. In this role, you will oversee the integration of all safety verification and validation (V&V) pipelines, ensuring that the full autonomy stack and robot platform meet rigorous safety clearance requirements. You will be part of an organization with strong leadership and a transparent, respectful culture that empowers you to deliver at your highest potential.In this role, you will: Develop, drive, and own the end-to-end strategy for the Safety Clearance program, coordinating the integration of validation pipelines spanning Autonomy Software, Vehicle Development, Hardware, Operations, and Human Factors teams. Lead cross-functional alignment to define and track validation closure criteria and interim deliverables throughout the development lifecycle, ensuring integration into the overall Zoox Release program roadmap. Synchronize program execution across technical program managers and engineering leads, track system readiness across verticals, manage cross-functional risks, and proactively resolve blockers impacting clearance milestones. Provide updates to company executives Deep dive into technical issues across autonomy, vehicle, hardware, and operations domains as needed to diagnose blockers, drive resolutions, and maintain overall program integrity. Define and track resource requirements, critical path items, and key handoffs, establish clear communication structures, surface risks early, and maintain visibility into key program milestones. Drive continuous improvement of validation, clearance, and reporting processes to increase efficiency, scalability, and auditability. Qualifications BS or MS degree in Engineering, Computer Science, Systems Engineering, or a related technical field, or equivalent practical experience. 7+ years of experience leading complex technical programs or cross-functional engineering initiatives, preferably in the automotive, robotics, aerospace, or safety-critical industries. Proven success managing highly cross-functional, multi-domain technical programs through to execution. Deep familiarity with project tracking tools such as JIRA, and experience managing complex schedules with dependency mapping and critical path analysis. Strong technical foundation with the ability to engage deeply with engineering teams across software, hardware, vehicle systems, and validation organizations. Demonstrated ability to drive cross-team alignment, resolve conflicting priorities, and deliver high-quality programs under tight timelines. Proficiency with basic statistics and probability Bonus Qualifications Experience managing validation and safety clearance processes for autonomous vehicles, aerospace systems, or other safety-critical systems. Familiarity with safety case development, simulation-based validation, and structured test planning methodologies. Experience scaling cross-functional safety and validation programs in dynamic, high-growth environments. Familiarity with applicable industry safety standards such as MIL-STD-882, ISO 26262, ISO 21448 PAS, etc. About ZooxZoox 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 AccommodationsIf 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 scaling manufacturing and service operations to prepare for the commercial deployment of our autonomous mobility service. As we ramp vehicle production and elevate operational readiness across sites, our manufacturing teams must be trained, certified, and fully equipped to support the fleet at scale. We are seeking a Technical Program Manager (Manufacturing Training & Coordination) who will support the training lifecycle for manufacturing roles. This role will drive workforce competency development, define and maintain training standards, and ensure that every technician, lead, and supervisor is trained to build, diagnose, and service vehicles safely and consistently. This is not just a program management role. It requires someone who can partner deeply with the technical writers, technicians, warehouse associates, and SMEs - while also being hands-on in designing training systems, delivering workshops, building curricula, and enabling a culture of continuous learning across Manufacturing Operations. In this role, you will: * Lead job analysis and competency design by developing role-based skill maps, certification levels, and capability matrices across all manufacturing teams * Define and oversee training content strategy, guiding technical writers, engineers, and SMEs in creating and maintaining SOPs, job aids, assessments, multimedia content, and simulation-based training * Ensure training accuracy and compliance by aligning all materials with the latest process updates, PFMEAs, quality requirements, work instructions, and safety standards * Develop and execute train-the-trainer programs, equipping leads and supervisors to deliver consistent, high-quality hands-on instruction; directly facilitate technical and instructional training sessions as needed * Analyze training gaps, process deviations, and quality issues, translating insights into updated training plans; establish KPIs, dashboards, and audit-readiness metrics to measure training effectiveness and operational impact * Manage a centralized training calendar and cross-facility coordination, ensuring scheduling across shifts and communicating program status, risks, and readiness to manufacturing and leadership teams Qualifications * Bachelor's degree in Engineering, Operations, Industrial Technology, Learning & Development, or related field * 5+ years of experience in manufacturing, operations, training development, or technical program management * Proven experience building technical training programs, including competency frameworks, skill certification systems, and hands-on training delivery in manufacturing or engineering environments * Skilled in developing high-quality training content, such as SOPs, job aids, assessments, and multimedia learning materials * Strong program management skills with experience coordinating large-scale, cross-functional initiatives * Excellent written and verbal communication skills, including the ability to simplify complex technical processes into teachable content $163,000 - $196,000 a year 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 [email protected] 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 may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Zoox's Advanced Hardware Engineering team is in charge of delivering all the autonomous hardware, infotainment electronic control units and electrical components that go into Zoox's future fleet of self-driving vehicles. Our sensors are mission-critical, as are the functional safety and systems engineering functions that ensure the integrity and safety of our architecture design. We are not a typical hardware team that simply delivers hardware that meets our performance and reliability specifications. We take extreme, end-to-end ownership of our sensor data product, ensuring that we deliver what our autonomy, software and safety customers need. We move fast here at Zoox, and many candidates will be asked from time to time to wear many hats. We would love to hear from you if you are up for solving very challenging problems across numerous cross-functional teams, delivering milestones with numerous dependencies and scaling your impact by developing and adopting structured ways of working. Additionally, if you are an expert at herding cats and influencing without formal authority, then this role was made for you! We are seeking an experienced and highly motivated TPM Manager to lead and mentor a team of Technical Program Managers (TPMs) focused on the delivery of our most complex and safety-critical sensor and system engineering initiatives. This role requires a unique blend of technical depth, people leadership, and expert program management. You will be responsible for overseeing the execution strategy and process quality across three critical domains: Sensors Programs, Systems Engineering, and Functional Safety Compliance (e.g., ISO 26262). The ideal candidate has a proven track record of scaling high-performing teams, partnering with numerous cross-functional teams and senior executives, and successfully delivering complex, multi-disciplinary technical products where safety and reliability are paramount. You will work in extremely close partnership with the Director of Sensors and Systems Engineering to strategize and do what needs doing. Develop strong cross-functional relationships at all levels, deepen the team's understanding of Zoox's complex product and interdependencies to AHE, and foster a collaborative “one Zoox” environment. Proactively identify and resolve systemic organizational and technical impediments that impact program velocity and quality. Facilitate both 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. Provide concise and effective communications to key stakeholders on program status, issues/risks, and accomplishments, in writing and via presentations. In this role, you will: Sensors Programs: Oversee the TPMs responsible for managing the full lifecycle of complex sensor integration programs (e.g., Lidar, Radar, visible and longwave infrared cameras) from definition and sourcing through mass production and deployment. Sensor Integration and Sensor Cleaning: Develop a full comprehensive of the interdependencies between sensors, sensor integration and sensor cleaning, and ensure seamless execution between the sensor and sensor integration & sensor cleaning teams. Systems Engineering and Functional Safety: In an individual contributor role, drive robust program management practices within the Systems Engineering and Functional Safety teams. Scope necessary work, create deliverables and timelines, and dashboards to track progress. Escalate risks , support cross-functional collaboration and help unblock the team as needed Own the consolidated roadmap and reporting for the portfolio of programs managed by the team, ensuring executive visibility into progress, risks, and dependencies. Oversee program assets and communication channels that ensure engineering teams understand what they need to deliver at all times, and are held accountable for delivering them. Work with cross-functional leaders and Finance teams to define and track resource requirements and spend against budget Work closely with procurement and supplier quality leaders to ensure an excellent partnership with suppliers. Qualifications Experience: 10+ years of total experience in technical program management (with some experience specifically managing sensor technology programs), with at least 3+ years managing and mentoring a team of TPMs, Technical Project Leads, or Engineers. Technical Domain Expertise: Deep knowledge and hands-on experience managing the development lifecycle of complex hardware/software systems (e.g., in robotics, automotive, aerospace, or industrial automation). Safety Standards: Strong experience managing programs compliant with industry functional safety standards (e.g., ISO 26262, IEC 61508, or equivalent) and quality management systems. Program Management Tools: Proficiency in and experience using tools required to manage complex projects (i.e. JIRA, smartsheets). Attitude: Remains flexible and calm in the face of uncertainty, and able to break down ambiguous problems into smaller puzzle pieces to solve. Self-motivated and proactive problem-solver Education: BS or MS degree in an engineering discipline or equivalent experience Bonus Qualifications Relevant Industry: Experience working with autonomous systems or in the automotive space. Supplier management: Significant experience working with suppliers to deliver products from conception to production, including managing FW updates, test failures and escalations Systems Acumen: Solid understanding of Systems Engineering principles, including requirements management, traceability, system characterization and architecture trade-offs. Certifications: PMP, PgMP, or Scrum Master certification. About ZooxZoox 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 AccommodationsIf 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 are seeking a Staff Program Manager with deep experience in Vendor Management Systems (VMS) and the contingent workforce domain. This role will own the end-to-end delivery of a greenfield contingent workforce platform, integrating VMS, Workforce Management (WFM), Learning Management (LMS), call center scheduling, and time/clock-in-clock-out systems. In This Role, You Will... * Own the entire contingent workforce program, ensuring delivery across VMS, WFM, and LMS. * Define the target-state operating model for contingent labor, including onboarding, compliance, time capture, billing, and offboarding. * Drive vendor strategy and governance across staffing suppliers and VMS providers. * Lead cross-functional alignment across Operations, HRIS, Finance, Legal, IT, and Security. * Manage roadmap definition, execution cadence, risk, and executive reporting. * Ensure compliance, scalability, and cost transparency across the contingent workforce lifecycle. * Provide strategic guidance for integration and operational adoption. Qualifications * 10+ years of program management experience with a focus on contingent workforce programs. * Hands-on experience with VMS platforms (e.g., Fieldglass). * Strong knowledge of contingent labor compliance and supplier management. * Proven experience leading complex, cross-functional enterprise programs. * Excellent stakeholder management and executive communication skills. $209,000 - $251,000 a year 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 [email protected] 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 may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Zoox is developing the first fully autonomous, purpose-built electric vehicle designed for autonomous ride-hailing. We are a passionate, collaborative, and fast-moving team working to build a revolutionary new mobility experience. This role offers the opportunity to make critical contributions to a challenging and groundbreaking product. Zoox is seeking an experienced Manager of Multi-Modal LLM Applications to lead a team focused on applying cutting-edge Large Multi-Modal Models (MLLMs) to solve concrete, offline autonomy problems. This role is crucial for deploying state-of-the-art AI into our autonomous driving platform, directly impacting the safety and performance of our technology. In this role, you will: * Leadership: Lead and manage a team of talented Machine Learning Engineers specializing MLLMs for concrete applications. * Model Development & Deployment: Oversee the full lifecycle of MLLM development, with a specific focus on post-training methodologies (e.g., fine-tuning, RLHF, context engineering) to optimize models for autonomy tasks. * Internal Customer Focus: Drive the deployment of complex MLLM solutions to internal customers, specifically solving tangible offline autonomy problems within the Zoox ecosystem. * Cross-Functional Strategy: Understand and identify dependencies between your team's work and other engineering teams and domains (e.g., Perception, Prediction, Planning, Validation). Collaborate with functional peer managers to ensure alignment and cooperation. * People Management & Development: Proactively create development opportunities for team members, coaching and mentoring them to grow their technical and leadership skills. Estimate staffing needs and schedules and assign project work to drive efficiency and meet operational goals. * Operational Execution & Problem Solving: Establish team goals and priorities and execute against operational needs. Apply and improve upon existing processes and procedures to resolve functional problems for the team. * Identify issues, gather facts, and execute analysis of situations or data to inform strategy and decisions. * Accountability & Influence: Your decisions will have a lasting impact on the success of the team and department. You will be responsible for managing special projects and initiatives and will frequently conduct presentations of key information to gain the cooperation of others. * Strategic Influence: Leverage broad knowledge of the specialized field/discipline to analyze complex information. Recommend and collaborate with senior management to resolve strategic issues. This role may involve leading a medium-to-large team, including direct reports who are also managers. Qualifications * 5+ years of professional experience in Machine Learning or Deep Learning, with a focus on large-scale model applications. * 3+ years of experience leading and managing engineering or research teams focused on AI/ML. * Direct experience leading teams training Multi-Modal Large Language Models (MLLMs), with deep expertise in post-training techniques (e.g., instruction tuning, alignment, domain adaptation). * Proven track record of deploying ML/MLLM models to production or internal customers to solve complex, real-world problems, ideally within the autonomy or robotics domain. * Strong organizational skills to manage complex project schedules, staffing needs, and priorities effectively. * A passion for mentoring and developing high-performing team members. $242,000 - $333,000 a year 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 [email protected] 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 may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

We are seeking a Staff Program Manager with deep experience in Vendor Management Systems (VMS) and the contingent workforce domain. This role will own the end-to-end delivery of a greenfield contingent workforce platform, integrating VMS, Workforce Management (WFM), Learning Management (LMS), call center scheduling, and time/clock-in-clock-out systems.In This Role, You Will... Own the entire contingent workforce program, ensuring delivery across VMS, WFM, and LMS. Define the target-state operating model for contingent labor, including onboarding, compliance, time capture, billing, and offboarding. Drive vendor strategy and governance across staffing suppliers and VMS providers. Lead cross-functional alignment across Operations, HRIS, Finance, Legal, IT, and Security. Manage roadmap definition, execution cadence, risk, and executive reporting. Ensure compliance, scalability, and cost transparency across the contingent workforce lifecycle. Provide strategic guidance for integration and operational adoption. Qualifications 10+ years of program management experience with a focus on contingent workforce programs. Hands-on experience with VMS platforms (e.g., Fieldglass). Strong knowledge of contingent labor compliance and supplier management. Proven experience leading complex, cross-functional enterprise programs. Excellent stakeholder management and executive communication skills. About ZooxZoox 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 AccommodationsIf 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.

Job DescriptionWe are seeking a Staff Program Manager with deep experience in Vendor Management Systems (VMS) and the contingent workforce domain. This role will own the end-to-end delivery of a greenfield contingent workforce platform, integrating VMS, Workforce Management (WFM), Learning Management (LMS), call center scheduling, and time/clock-in-clock-out systems.In This Role, You Will... Own the entire contingent workforce program, ensuring delivery across VMS, WFM, and LMS. Define the target-state operating model for contingent labor, including onboarding, compliance, time capture, billing, and offboarding. Drive vendor strategy and governance across staffing suppliers and VMS providers. Lead cross-functional alignment across Operations, HRIS, Finance, Legal, IT, and Security. Manage roadmap definition, execution cadence, risk, and executive reporting. Ensure compliance, scalability, and cost transparency across the contingent workforce lifecycle. Provide strategic guidance for integration and operational adoption. Qualifications 10+ years of program management experience with a focus on contingent workforce programs. Hands-on experience with VMS platforms (e.g., Fieldglass). Strong knowledge of contingent labor compliance and supplier management. Proven experience leading complex, cross-functional enterprise programs. Excellent stakeholder management and executive communication skills. 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 ZooxZoox 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 AccommodationsIf 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 may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

As our Senior Manager, Manufacturing Systems, you will lead our Manufacturing Systems team to develop, implement, execute, and support the utilization of manufacturing systems within Zoox's manufacturing operations and Field Service Engineering environment. The three main work scopes of the team are Manufacturing Execution System (MES) and its integration with the Enterprise Resource Planning (ERP), production management and line control systems, and the integration of manufacturing systems from the plant floor to the ERP. You are also responsible for working with other teams within the Manufacturing Engineering organization and cross-functional teams from other Manufacturing Operations Departments, Field Service Engineering, IT and Business Application, and Program Management to formulate short and long-term Manufacturing Systems strategies, including repair traceability and configuration control to support the execution of Zoox requirements. You will work with relevant leaders and teams to develop specific Manufacturing Systems Team roadmaps, project schedules, identify milestones, flag risks, estimate budgets, track costs, and clearly communicate ongoing progress. At Zoox, you will collaborate with a team of world-class engineers and technicians with diverse backgrounds in areas such as automotive and robotics, and you will have the chance to manifest your creativity and provide a high impact on the innovative products at Zoox. In this role, you will: * Work with department leaders to translate the top-down corporate strategy and milestones into detailed concepts, roadmaps, timelines, and deliverables that are relevant to the Manufacturing Systems team's activities * Develop short and long-term manufacturing and service systems strategies to meet the company's goals * Interact with cross-functional leaders to convey Manufacturing systems requirements and work with them to define support resource requirements and tasks to support the achievement of the team's deliverables * Represent the Manufacturing and Service Systems team in cross-functional project activities related to the Robot Configuration Management process and execution * Collaborate with the IT and Business Applications team to ensure the Manufacturing and Service Systems interact effectively and efficiently with the enterprise-level systems across system planning, development, and execution phases. * Manage the Manufacturing and Service Execution Systems Team to design, implement, execute, and standardize manufacturing systems and processes * Lead the activities to design, develop, and implement manufacturing systems to enable the manufacturing of advanced components and vehicles, meeting Zoox's and the industry's manufacturing requirements * Support day-to-day vehicle and component production operations at Zoox's manufacturing facilities Qualifications * Bachelor's degree in a relevant area such as Computer Science or Engineering * 15+ years of experience in manufacturing environments utilizing various manufacturing systems, specifically with Manufacturing Execution Systems, SCADA systems, and Line control systems such as PLCs, automation systems, industrial equipment, and integration of these systems in production. * Experience in creating long-term and short-term business and technical strategies for implementing manufacturing systems to increase manufacturing efficiency and effectiveness. * Strong technical knowledge and experience in Manufacturing Systems architecture, detailed systems functionality, incorporating business requirements into system requirements, overall discrete manufacturing processes, and production order execution. * Experience in implementing and executing SAP ME/Mii/PCo, Inductive Automation Ignition SCADA system, Kepware OPC, Siemens PLCs, and industrial automation devices Bonus Qualifications * M.S. in Computer Science, Engineering, or a similar field * Deep technical knowledge and understanding of SAP ME/Mii/PCo systems and the integration of MES to SAP S4/HANA ERP system modules, specifically PP, PM, EAM, eWM, and QM * Significant relevant experience in the automotive industry and/or discrete manufacturing industries, and hands-on experience in a production environment * Strong understanding of the architecture and operations of modern manufacturing production lines $242,000 - $304,000 a year 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 [email protected] 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 may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

As our Senior Manager, Manufacturing Systems, you will lead our Manufacturing Systems team to develop, implement, execute, and support the utilization of manufacturing systems within Zoox's manufacturing operations and Field Service Engineering environment. The three main work scopes of the team are Manufacturing Execution System (MES) and its integration with the Enterprise Resource Planning (ERP), production management and line control systems, and the integration of manufacturing systems from the plant floor to the ERP. You are also responsible for working with other teams within the Manufacturing Engineering organization and cross-functional teams from other Manufacturing Operations Departments, Field Service Engineering, IT and Business Application, and Program Management to formulate short and long-term Manufacturing Systems strategies, including repair traceability and configuration control to support the execution of Zoox requirements. You will work with relevant leaders and teams to develop specific Manufacturing Systems Team roadmaps, project schedules, identify milestones, flag risks, estimate budgets, track costs, and clearly communicate ongoing progress. At Zoox, you will collaborate with a team of world-class engineers and technicians with diverse backgrounds in areas such as automotive and robotics, and you will have the chance to manifest your creativity and provide a high impact on the innovative products at Zoox.In this role, you will: Work with department leaders to translate the top-down corporate strategy and milestones into detailed concepts, roadmaps, timelines, and deliverables that are relevant to the Manufacturing Systems team's activities Develop short and long-term manufacturing and service systems strategies to meet the company's goals Interact with cross-functional leaders to convey Manufacturing systems requirements and work with them to define support resource requirements and tasks to support the achievement of the team's deliverables Represent the Manufacturing and Service Systems team in cross-functional project activities related to the Robot Configuration Management process and execution Collaborate with the IT and Business Applications team to ensure the Manufacturing and Service Systems interact effectively and efficiently with the enterprise-level systems across system planning, development, and execution phases. Manage the Manufacturing and Service Execution Systems Team to design, implement, execute, and standardize manufacturing systems and processes Lead the activities to design, develop, and implement manufacturing systems to enable the manufacturing of advanced components and vehicles, meeting Zoox's and the industry's manufacturing requirements Support day-to-day vehicle and component production operations at Zoox's manufacturing facilities Qualifications Bachelor's degree in a relevant area such as Computer Science or Engineering 15+ years of experience in manufacturing environments utilizing various manufacturing systems, specifically with Manufacturing Execution Systems, SCADA systems, and Line control systems such as PLCs, automation systems, industrial equipment, and integration of these systems in production. Experience in creating long-term and short-term business and technical strategies for implementing manufacturing systems to increase manufacturing efficiency and effectiveness. Strong technical knowledge and experience in Manufacturing Systems architecture, detailed systems functionality, incorporating business requirements into system requirements, overall discrete manufacturing processes, and production order execution. Experience in implementing and executing SAP ME/Mii/PCo, Inductive Automation Ignition SCADA system, Kepware OPC, Siemens PLCs, and industrial automation devices Bonus Qualifications M.S. in Computer Science, Engineering, or a similar field Deep technical knowledge and understanding of SAP ME/Mii/PCo systems and the integration of MES to SAP S4/HANA ERP system modules, specifically PP, PM, EAM, eWM, and QM Significant relevant experience in the automotive industry and/or discrete manufacturing industries, and hands-on experience in a production environment Strong understanding of the architecture and operations of modern manufacturing production lines About ZooxZoox 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 AccommodationsIf 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.

Job DescriptionAs our Senior Manager, Manufacturing Systems, you will lead our Manufacturing Systems team to develop, implement, execute, and support the utilization of manufacturing systems within Zoox's manufacturing operations and Field Service Engineering environment. The three main work scopes of the team are Manufacturing Execution System (MES) and its integration with the Enterprise Resource Planning (ERP), production management and line control systems, and the integration of manufacturing systems from the plant floor to the ERP. You are also responsible for working with other teams within the Manufacturing Engineering organization and cross-functional teams from other Manufacturing Operations Departments, Field Service Engineering, IT and Business Application, and Program Management to formulate short and long-term Manufacturing Systems strategies, including repair traceability and configuration control to support the execution of Zoox requirements. You will work with relevant leaders and teams to develop specific Manufacturing Systems Team roadmaps, project schedules, identify milestones, flag risks, estimate budgets, track costs, and clearly communicate ongoing progress. At Zoox, you will collaborate with a team of world-class engineers and technicians with diverse backgrounds in areas such as automotive and robotics, and you will have the chance to manifest your creativity and provide a high impact on the innovative products at Zoox.In this role, you will: Work with department leaders to translate the top-down corporate strategy and milestones into detailed concepts, roadmaps, timelines, and deliverables that are relevant to the Manufacturing Systems team's activities Develop short and long-term manufacturing and service systems strategies to meet the company's goals Interact with cross-functional leaders to convey Manufacturing systems requirements and work with them to define support resource requirements and tasks to support the achievement of the team's deliverables Represent the Manufacturing and Service Systems team in cross-functional project activities related to the Robot Configuration Management process and execution Collaborate with the IT and Business Applications team to ensure the Manufacturing and Service Systems interact effectively and efficiently with the enterprise-level systems across system planning, development, and execution phases. Manage the Manufacturing and Service Execution Systems Team to design, implement, execute, and standardize manufacturing systems and processes Lead the activities to design, develop, and implement manufacturing systems to enable the manufacturing of advanced components and vehicles, meeting Zoox's and the industry's manufacturing requirements Support day-to-day vehicle and component production operations at Zoox's manufacturing facilities Qualifications Bachelor's degree in a relevant area such as Computer Science or Engineering 15+ years of experience in manufacturing environments utilizing various manufacturing systems, specifically with Manufacturing Execution Systems, SCADA systems, and Line control systems such as PLCs, automation systems, industrial equipment, and integration of these systems in production. Experience in creating long-term and short-term business and technical strategies for implementing manufacturing systems to increase manufacturing efficiency and effectiveness. Strong technical knowledge and experience in Manufacturing Systems architecture, detailed systems functionality, incorporating business requirements into system requirements, overall discrete manufacturing processes, and production order execution. Experience in implementing and executing SAP ME/Mii/PCo, Inductive Automation Ignition SCADA system, Kepware OPC, Siemens PLCs, and industrial automation devices Bonus Qualifications M.S. in Computer Science, Engineering, or a similar field Deep technical knowledge and understanding of SAP ME/Mii/PCo systems and the integration of MES to SAP S4/HANA ERP system modules, specifically PP, PM, EAM, eWM, and QM Significant relevant experience in the automotive industry and/or discrete manufacturing industries, and hands-on experience in a production environment Strong understanding of the architecture and operations of modern manufacturing production lines 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 ZooxZoox 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 AccommodationsIf 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 may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

We are looking for a seasoned Systems Engineering leader to manage the Autonomy Hardware Systems organization. You will lead a functional organization divided into two core pillars: System Design & Analysis and Verification & Validation (V&V).In this role, you will focus on the comprehensive system architecture and integration of our autonomy hardware. You will own the engineering V-model, ensuring a seamless flow from system requirements down to subsystem and component requirements. Your teams will be responsible for system validation and ensuring that changes in hardware/firmware are managed across the company and rigorously traced back to requirements.In this role, you will: Work with Systems Engineering Toolchains: Proficient in requirements management and traceability tools (e.g., JAMA, DOORS, Polarion). Lead System Architecture & Integration: Strong technical understanding of integrating complex compute platforms, high-speed networking (Automotive Ethernet), and multi-modal sensor suites. Manage VnV Lifecycle Management: Ability to own the outcome of the system, ensuring comprehensive test coverage from component to system level. Experience executing sensor test frameworks that incorporate metrics from downstream SW algorithms. Work in Cross-Functional Leadership: Exceptional skill in navigating matrixed environments, distinguishing between component, subsystem, and system responsibilities, and driving consensus across HW, SW, and Safety teams. Qualifications 10+ years of experience in Hardware Systems Engineering within complex, safety-critical industries (Automotive, Robotics, Aerospace). 5+ years of people management experience, specifically managing other managers or team leads. Demonstrated success in defining and executing the Systems Engineering V-Model, with a track record of connecting high-level product requirements to concrete engineering specifications. Experience managing system validation strategies, system integration testing, and closing the loop on field/test regressions. Proven ability to create and organize engineering workflows to drive organizational clarity. Bonus Qualifications Simulation & Modeling: Exposure to 3D simulation environments and Model-Based Systems Engineering (MBSE) workflows. Functional Safety Knowledge: Familiarity with ISO 26262 and SOTIF standards. Automotive Testing Methodologies: Familiarity with automotive test standards. About ZooxZoox 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 AccommodationsIf 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.

Job DescriptionWe are looking for a seasoned Systems Engineering leader to manage the Autonomy Hardware Systems organization. You will lead a functional organization divided into two core pillars: System Design & Analysis and Verification & Validation (V&V).In this role, you will focus on the comprehensive system architecture and integration of our autonomy hardware. You will own the engineering V-model, ensuring a seamless flow from system requirements down to subsystem and component requirements. Your teams will be responsible for system validation and ensuring that changes in hardware/firmware are managed across the company and rigorously traced back to requirements.In this role, you will: Work with Systems Engineering Toolchains: Proficient in requirements management and traceability tools (e.g., JAMA, DOORS, Polarion). Lead System Architecture & Integration: Strong technical understanding of integrating complex compute platforms, high-speed networking (Automotive Ethernet), and multi-modal sensor suites. Manage VnV Lifecycle Management: Ability to own the outcome of the system, ensuring comprehensive test coverage from component to system level. Experience executing sensor test frameworks that incorporate metrics from downstream SW algorithms. Work in Cross-Functional Leadership: Exceptional skill in navigating matrixed environments, distinguishing between component, subsystem, and system responsibilities, and driving consensus across HW, SW, and Safety teams. Qualifications 10+ years of experience in Hardware Systems Engineering within complex, safety-critical industries (Automotive, Robotics, Aerospace). 5+ years of people management experience, specifically managing other managers or team leads. Demonstrated success in defining and executing the Systems Engineering V-Model, with a track record of connecting high-level product requirements to concrete engineering specifications. Experience managing system validation strategies, system integration testing, and closing the loop on field/test regressions. Proven ability to create and organize engineering workflows to drive organizational clarity. Bonus Qualifications Simulation & Modeling: Exposure to 3D simulation environments and Model-Based Systems Engineering (MBSE) workflows. Functional Safety Knowledge: Familiarity with ISO 26262 and SOTIF standards. Automotive Testing Methodologies: Familiarity with automotive test standards. 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 ZooxZoox 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 AccommodationsIf 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 may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Zoox is developing the first fully autonomous, purpose-built electric vehicle designed for autonomous ride-hailing. We are a passionate, collaborative, and fast-moving team working to build a revolutionary new mobility experience. This role offers the opportunity to make critical contributions to a challenging and groundbreaking product. Zoox is seeking an experienced Manager of Multi-Modal LLM Applications to lead a team focused on applying cutting-edge Large Multi-Modal Models (MLLMs) to solve concrete, offline autonomy problems. This role is crucial for deploying state-of-the-art AI into our autonomous driving platform, directly impacting the safety and performance of our technology.In this role, you will: Leadership: Lead and manage a team of talented Machine Learning Engineers specializing MLLMs for concrete applications. Model Development & Deployment: Oversee the full lifecycle of MLLM development, with a specific focus on post-training methodologies (e.g., fine-tuning, RLHF, context engineering) to optimize models for autonomy tasks. Internal Customer Focus: Drive the deployment of complex MLLM solutions to internal customers, specifically solving tangible offline autonomy problems within the Zoox ecosystem. Cross-Functional Strategy: Understand and identify dependencies between your team's work and other engineering teams and domains (e.g., Perception, Prediction, Planning, Validation). Collaborate with functional peer managers to ensure alignment and cooperation. People Management & Development: Proactively create development opportunities for team members, coaching and mentoring them to grow their technical and leadership skills. Estimate staffing needs and schedules and assign project work to drive efficiency and meet operational goals. Operational Execution & Problem Solving: Establish team goals and priorities and execute against operational needs. Apply and improve upon existing processes and procedures to resolve functional problems for the team. Identify issues, gather facts, and execute analysis of situations or data to inform strategy and decisions. Accountability & Influence: Your decisions will have a lasting impact on the success of the team and department. You will be responsible for managing special projects and initiatives and will frequently conduct presentations of key information to gain the cooperation of others. Strategic Influence: Leverage broad knowledge of the specialized field/discipline to analyze complex information. Recommend and collaborate with senior management to resolve strategic issues. This role may involve leading a medium-to-large team, including direct reports who are also managers. Qualifications 5+ years of professional experience in Machine Learning or Deep Learning, with a focus on large-scale model applications. 3+ years of experience leading and managing engineering or research teams focused on AI/ML. Direct experience leading teams training Multi-Modal Large Language Models (MLLMs), with deep expertise in post-training techniques (e.g., instruction tuning, alignment, domain adaptation). Proven track record of deploying ML/MLLM models to production or internal customers to solve complex, real-world problems, ideally within the autonomy or robotics domain. Strong organizational skills to manage complex project schedules, staffing needs, and priorities effectively. A passion for mentoring and developing high-performing team members. About ZooxZoox 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 AccommodationsIf 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.

Job DescriptionZoox is developing the first fully autonomous, purpose-built electric vehicle designed for autonomous ride-hailing. We are a passionate, collaborative, and fast-moving team working to build a revolutionary new mobility experience. This role offers the opportunity to make critical contributions to a challenging and groundbreaking product. Zoox is seeking an experienced Manager of Multi-Modal LLM Applications to lead a team focused on applying cutting-edge Large Multi-Modal Models (MLLMs) to solve concrete, offline autonomy problems. This role is crucial for deploying state-of-the-art AI into our autonomous driving platform, directly impacting the safety and performance of our technology.In this role, you will: Leadership: Lead and manage a team of talented Machine Learning Engineers specializing MLLMs for concrete applications. Model Development & Deployment: Oversee the full lifecycle of MLLM development, with a specific focus on post-training methodologies (e.g., fine-tuning, RLHF, context engineering) to optimize models for autonomy tasks. Internal Customer Focus: Drive the deployment of complex MLLM solutions to internal customers, specifically solving tangible offline autonomy problems within the Zoox ecosystem. Cross-Functional Strategy: Understand and identify dependencies between your team's work and other engineering teams and domains (e.g., Perception, Prediction, Planning, Validation). Collaborate with functional peer managers to ensure alignment and cooperation. People Management & Development: Proactively create development opportunities for team members, coaching and mentoring them to grow their technical and leadership skills. Estimate staffing needs and schedules and assign project work to drive efficiency and meet operational goals. Operational Execution & Problem Solving: Establish team goals and priorities and execute against operational needs. Apply and improve upon existing processes and procedures to resolve functional problems for the team. Identify issues, gather facts, and execute analysis of situations or data to inform strategy and decisions. Accountability & Influence: Your decisions will have a lasting impact on the success of the team and department. You will be responsible for managing special projects and initiatives and will frequently conduct presentations of key information to gain the cooperation of others. Strategic Influence: Leverage broad knowledge of the specialized field/discipline to analyze complex information. Recommend and collaborate with senior management to resolve strategic issues. This role may involve leading a medium-to-large team, including direct reports who are also managers. Qualifications 5+ years of professional experience in Machine Learning or Deep Learning, with a focus on large-scale model applications. 3+ years of experience leading and managing engineering or research teams focused on AI/ML. Direct experience leading teams training Multi-Modal Large Language Models (MLLMs), with deep expertise in post-training techniques (e.g., instruction tuning, alignment, domain adaptation). Proven track record of deploying ML/MLLM models to production or internal customers to solve complex, real-world problems, ideally within the autonomy or robotics domain. Strong organizational skills to manage complex project schedules, staffing needs, and priorities effectively. A passion for mentoring and developing high-performing team members. 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 ZooxZoox 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 AccommodationsIf 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 may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.