Senior Staff Systems Engineer jobs at Zoox - 58 jobs

Job DescriptionThe Platform Safety Engineering and Analysis team at Zoox defines system requirements for Zoox's robot platform to ensure safe and reliable autonomous vehicle operation, including hardware and associated firmware. This team works at the intersection of hardware and software to establish the technical framework that connects component-level requirements to system-level and product level requirements. Achieving fail-operational capabilities is critical for the safe and scalable deployment of autonomous driving vehicles. In complex environments, vehicles must remain operational even in the presence of faults. This necessitates robust strategies for fault handling, management, and recovery. Developing these capabilities allows the company to ensure continuous operation, mitigate safety risks, and ultimately scale its autonomous driving fleet effectively.In this role, you will: Design fault response strategies to maintain vehicle safety and operation during malfunctions. This includes creating decision-making algorithms to determine the best action based on the fault's nature and severity. Develop solutions for recovering from faults and restoring normal vehicle operation, such as performance degradation strategies, system component reconfiguration, or safe shutdown and recovery protocols. Build a comprehensive framework for assessing the effectiveness of fault handling and recovery. Define key metrics for system resilience and safety, and use data analysis to improve system performance. Automate processes for continuous improvement of results. Work closely with other engineering teams, including software, hardware, and controls engineers, to ensure a holistic approach to system safety and fault tolerance. This requires strong communication and interpersonal skills, and the ability to translate complex technical concepts to diverse audiences. Qualifications B.S. or higher degree in Systems Engineering, Robotics, Computer Science, Electrical Engineering, Applied Mathematics or related fields with 5+ years of relevant experience Strong systems engineering background with experience in requirements management and system architecture Proficiency in quantitative analysis and modeling tools Deep understanding of fault detection, isolation, and recovery techniques, including redundancy, failover, and graceful degradation strategies Proven ability to develop and integrate fault monitoring and diagnostics tools to proactively identify and address potential system failures Familiarity with industry standards and best practices for fault management and system reliability Strong analytical skills in performance metrics definition and system-level trade-off analysis Excellent technical communication and documentation abilities Demonstrated successful experience working with cross-functional teams in complex technical environments Bonus Qualifications Advanced degree (MS or PhD) in a relevant field Experience with autonomous vehicle development or similar complex robotics systems Knowledge of automotive-grade hardware systems and integration requirements Familiarity with requirements management tools (e.g., Polarion, DOORS) Experience with system safety analysis and requirements validation Background in performance modeling and system architecture design Understanding of ML/AI systems and their requirements Familiarity with ISO 26262, ISO 21448, and other industry safety 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.

A Silicon Valley-based tech company is seeking a skilled AI Engineer to lead the maintenance and enhancement of AI solutions. The role involves optimizing AI systems, developing models, and managing APIs, predominantly using AWS services. Ideal candidates should have a strong background in AI development, proficiency in Python, and at least 6 years of experience. The position offers a competitive salary of $180,000 - $200,000 with comprehensive benefits and growth opportunities. #J-18808-Ljbffr

Job DescriptionZoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and deploy such a robotaxi solution safely. As a Senior/Staff Systems Engineer at Zoox, you will have the opportunity to work closely with cross-functional teams to define, analyze, and measure our system's performance and safety. Your work will be critical in guiding the safe and successful deployment of fully autonomous driving technology by ensuring its readiness and maturity at every stage.In this role, you will: Lead and contribute to the definition, development, and evolution of the safety case and key system performance metrics that measure the robotaxi's ability to safely complete journeys. Perform comprehensive hazard and system analysis using methodologies such as System-theoretic Process Analysis (STPA) to identify potential system issues. Model the performance impact of autonomy behavior and residual operational risks. Develop robust methodologies to quantify the readiness and maturity of the autonomous driving system, including performing probabilistic risk assessments. Derive comprehensive verification and validation (V&V) strategies for progress metrics and use analysis outputs to inform test scenarios and coverage. Identify and manage safety requirements where applicable. Communicate complex concepts, model outcomes, and actionable insights to diverse stakeholders and executives. Ensure end-to-end traceability of requirements, metrics, and analyses to produce a closed-loop safety case and enable continuous feedback loops. Qualifications M.S. or higher degree in an Engineering or Computer Science discipline At least 7 years of relevant professional experience in fields such as Systems Engineering, System Safety, data analysis, performance tracking, or risk quantification for complex systems Experience performing hazard analysis using one or more methods such as STPA, Fault Tree Analysis (FTA), Failure Modes and Effects Analysis (FMEA), or Functional Hazard Analysis (FHA) Demonstrated experience in defining, implementing, and managing quantitative metrics and data pipelines for software or hardware systems Proficiency in probability, statistics, and quantitative analysis/modeling tools, with the ability to use Python to interface with large-scale data sources A strong understanding of complex software systems, preferably in robotics, autonomous driving, or aerospace A collaborative team player with strong written and in-person communication skills, capable of influencing and presenting complex data to varied audiences Bonus Qualifications Systems Engineering or System Safety experience with autonomous driving systems Metrics ownership experience in autonomous driving or robotics Hands-on experience applying relevant industry safety standards such as ISO 26262 or ISO 21448, including any certifications Experience with risk assessment methodologies or building out a large-scale process from conception to implementation 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 on an ambitious journey to develop a full-stack autonomous mobility solution for cities and deploy such a robotaxi solution safely. As a Senior/Staff Systems Engineer at Zoox, you will have the opportunity to work closely with cross-functional teams to define, analyze, and measure our system's performance and safety. Your work will be critical in guiding the safe and successful deployment of fully autonomous driving technology by ensuring its readiness and maturity at every stage.In this role, you will: Lead and contribute to the definition, development, and evolution of the safety case and key system performance metrics that measure the robotaxi's ability to safely complete journeys. Perform comprehensive hazard and system analysis using methodologies such as System-theoretic Process Analysis (STPA) to identify potential system issues. Model the performance impact of autonomy behavior and residual operational risks. Develop robust methodologies to quantify the readiness and maturity of the autonomous driving system, including performing probabilistic risk assessments. Derive comprehensive verification and validation (V&V) strategies for progress metrics and use analysis outputs to inform test scenarios and coverage. Identify and manage safety requirements where applicable. Communicate complex concepts, model outcomes, and actionable insights to diverse stakeholders and executives. Ensure end-to-end traceability of requirements, metrics, and analyses to produce a closed-loop safety case and enable continuous feedback loops. Qualifications M.S. or higher degree in an Engineering or Computer Science discipline At least 7 years of relevant professional experience in fields such as Systems Engineering, System Safety, data analysis, performance tracking, or risk quantification for complex systems Experience performing hazard analysis using one or more methods such as STPA, Fault Tree Analysis (FTA), Failure Modes and Effects Analysis (FMEA), or Functional Hazard Analysis (FHA) Demonstrated experience in defining, implementing, and managing quantitative metrics and data pipelines for software or hardware systems Proficiency in probability, statistics, and quantitative analysis/modeling tools, with the ability to use Python to interface with large-scale data sources A strong understanding of complex software systems, preferably in robotics, autonomous driving, or aerospace A collaborative team player with strong written and in-person communication skills, capable of influencing and presenting complex data to varied audiences Bonus Qualifications Systems Engineering or System Safety experience with autonomous driving systems Metrics ownership experience in autonomous driving or robotics Hands-on experience applying relevant industry safety standards such as ISO 26262 or ISO 21448, including any certifications Experience with risk assessment methodologies or building out a large-scale process from conception to implementation 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.

The Platform Safety Engineering and Analysis team at Zoox defines system requirements for Zoox's robot platform to ensure safe and reliable autonomous vehicle operation, including hardware and associated firmware. This team works at the intersection of hardware and software to establish the technical framework that connects component-level requirements to system-level and product level requirements. Achieving fail-operational capabilities is critical for the safe and scalable deployment of autonomous driving vehicles. In complex environments, vehicles must remain operational even in the presence of faults. This necessitates robust strategies for fault handling, management, and recovery. Developing these capabilities allows the company to ensure continuous operation, mitigate safety risks, and ultimately scale its autonomous driving fleet effectively.In this role, you will: Design fault response strategies to maintain vehicle safety and operation during malfunctions. This includes creating decision-making algorithms to determine the best action based on the fault's nature and severity. Develop solutions for recovering from faults and restoring normal vehicle operation, such as performance degradation strategies, system component reconfiguration, or safe shutdown and recovery protocols. Build a comprehensive framework for assessing the effectiveness of fault handling and recovery. Define key metrics for system resilience and safety, and use data analysis to improve system performance. Automate processes for continuous improvement of results. Work closely with other engineering teams, including software, hardware, and controls engineers, to ensure a holistic approach to system safety and fault tolerance. This requires strong communication and interpersonal skills, and the ability to translate complex technical concepts to diverse audiences. Qualifications B.S. or higher degree in Systems Engineering, Robotics, Computer Science, Electrical Engineering, Applied Mathematics or related fields with 5+ years of relevant experience Strong systems engineering background with experience in requirements management and system architecture Proficiency in quantitative analysis and modeling tools Deep understanding of fault detection, isolation, and recovery techniques, including redundancy, failover, and graceful degradation strategies Proven ability to develop and integrate fault monitoring and diagnostics tools to proactively identify and address potential system failures Familiarity with industry standards and best practices for fault management and system reliability Strong analytical skills in performance metrics definition and system-level trade-off analysis Excellent technical communication and documentation abilities Demonstrated successful experience working with cross-functional teams in complex technical environments Bonus Qualifications Advanced degree (MS or PhD) in a relevant field Experience with autonomous vehicle development or similar complex robotics systems Knowledge of automotive-grade hardware systems and integration requirements Familiarity with requirements management tools (e.g., Polarion, DOORS) Experience with system safety analysis and requirements validation Background in performance modeling and system architecture design Understanding of ML/AI systems and their requirements Familiarity with ISO 26262, ISO 21448, and other industry safety 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.

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. We are looking for a Principal Systems Engineer to lead the design and assurance efforts for overall safety and fail-operational initiatives. In this highly visible position, you will lead technical programs with cross-functional teams, defining, developing, and continuously refining the methodology for measuring and optimizing safety and fail-operational metrics. You will serve as a trusted technical partner for the Senior Director of System Design and Mission Assurance, at times representing the Senior Director in leadership meetings. You will be part of an organization with strong leadership and a transparent, respectful culture that enables you to reach your full potential. This highly visible position offers opportunities for career growth through demonstrated achievement. In this role, you will: * Define and refine the strategy and architecture for the Systems Engineering efforts that guide Zoox's approach to safety and fail-operational initiatives * Lead and oversee the definition, development, and evolution of safety and fail-operational metrics that measure the robotaxi's ability to safely complete customers' journeys * Review and approve mission assurance clearance documents * Communicate complex metric concepts, data analyses, and actionable insights to diverse stakeholders and executives * Coach and mentor SDMA systems engineers, fostering their career growth and strengthening SDMA's technical bench Qualifications * M.S. or higher degree in an Engineering, Computer Science, or a related field * At least 10 years of relevant professional experience in systems engineering, data analysis, performance tracking, or risk quantification for complex systems. * Demonstrated experience in defining, implementing, and managing quantitative metrics and data-driven approaches for the design and development of complex software or hardware systems * Proficiency in statistics and probability * Hands-on experience working with complex software systems, preferably in robotics, autonomous driving, or aerospace. * Collaborative team player with good written and in-person communication skills, capable of influencing, driving consensus, and presenting complex data to varied audiences including senior executives. Bonus Qualifications * Ph.D. in Engineering, Computer Science, or a related field * Systems engineering experience with large complex safety-critical systems * Metrics development experience * Experience in automotive industry * Experience with autonomous driving or robotics * Familiarity with industry safety standards such as ISO 26262, ISO 21448, MIL-STD-882, etc. $313,000 - $376,000 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.

Job DescriptionZoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. We are looking for a Principal Systems Engineer to lead the design and assurance efforts for overall safety and fail-operational initiatives. In this highly visible position, you will lead technical programs with cross-functional teams, defining, developing, and continuously refining the methodology for measuring and optimizing safety and fail-operational metrics. You will serve as a trusted technical partner for the Senior Director of System Design and Mission Assurance, at times representing the Senior Director in leadership meetings. You will be part of an organization with strong leadership and a transparent, respectful culture that enables you to reach your full potential. This highly visible position offers opportunities for career growth through demonstrated achievement.In this role, you will: Define and refine the strategy and architecture for the Systems Engineering efforts that guide Zoox's approach to safety and fail-operational initiatives Lead and oversee the definition, development, and evolution of safety and fail-operational metrics that measure the robotaxi's ability to safely complete customers' journeys Review and approve mission assurance clearance documents Communicate complex metric concepts, data analyses, and actionable insights to diverse stakeholders and executives Coach and mentor SDMA systems engineers, fostering their career growth and strengthening SDMA's technical bench Qualifications M.S. or higher degree in an Engineering, Computer Science, or a related field At least 10 years of relevant professional experience in systems engineering, data analysis, performance tracking, or risk quantification for complex systems. Demonstrated experience in defining, implementing, and managing quantitative metrics and data-driven approaches for the design and development of complex software or hardware systems Proficiency in statistics and probability Hands-on experience working with complex software systems, preferably in robotics, autonomous driving, or aerospace. Collaborative team player with good written and in-person communication skills, capable of influencing, driving consensus, and presenting complex data to varied audiences including senior executives. Bonus Qualifications Ph.D. in Engineering, Computer Science, or a related field Systems engineering experience with large complex safety-critical systems Metrics development experience Experience in automotive industry Experience with autonomous driving or robotics Familiarity with industry safety standards such as ISO 26262, ISO 21448, MIL-STD-882, 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.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 on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. We are looking for a Principal Systems Engineer to lead the design and assurance efforts for overall safety and fail-operational initiatives. In this highly visible position, you will lead technical programs with cross-functional teams, defining, developing, and continuously refining the methodology for measuring and optimizing safety and fail-operational metrics. You will serve as a trusted technical partner for the Senior Director of System Design and Mission Assurance, at times representing the Senior Director in leadership meetings. You will be part of an organization with strong leadership and a transparent, respectful culture that enables you to reach your full potential. This highly visible position offers opportunities for career growth through demonstrated achievement.In this role, you will: Define and refine the strategy and architecture for the Systems Engineering efforts that guide Zoox's approach to safety and fail-operational initiatives Lead and oversee the definition, development, and evolution of safety and fail-operational metrics that measure the robotaxi's ability to safely complete customers' journeys Review and approve mission assurance clearance documents Communicate complex metric concepts, data analyses, and actionable insights to diverse stakeholders and executives Coach and mentor SDMA systems engineers, fostering their career growth and strengthening SDMA's technical bench Qualifications M.S. or higher degree in an Engineering, Computer Science, or a related field At least 10 years of relevant professional experience in systems engineering, data analysis, performance tracking, or risk quantification for complex systems. Demonstrated experience in defining, implementing, and managing quantitative metrics and data-driven approaches for the design and development of complex software or hardware systems Proficiency in statistics and probability Hands-on experience working with complex software systems, preferably in robotics, autonomous driving, or aerospace. Collaborative team player with good written and in-person communication skills, capable of influencing, driving consensus, and presenting complex data to varied audiences including senior executives. Bonus Qualifications Ph.D. in Engineering, Computer Science, or a related field Systems engineering experience with large complex safety-critical systems Metrics development experience Experience in automotive industry Experience with autonomous driving or robotics Familiarity with industry safety standards such as ISO 26262, ISO 21448, MIL-STD-882, 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 looking for a software engineer to work on our custom High-Performance Computing infrastructure and its supporting ecosystem of tools and services. This infrastructure is central to machine learning workflows across all Zoox software divisions, from data engineering to computer vision perception to simulation and more. You will take on a breadth of end-to-end responsibilities including distributed system design, algorithmic job scheduling, and adaptive cloud scaling in support of all of Zoox's computational needs.In this role, you will: Design, build, and optimize a petabyte-scale, in-house HPC storage infrastructure, ensuring high performance and reliability for our machine learning workloads across both cloud and on-premise data centers. Drive GPU efficiency by strategically collocating storage and compute, architecting a storage layer that keeps tens of thousands of GPUs fully utilized and prevents bottlenecks. Drive key initiatives in training and storage optimization by partnering with ML practitioners, applying your deep understanding of frameworks such as PyTorch and TensorFlow to meet their evolving demands. Investigate and adopt new distributed system paradigms and cutting-edge technologies to ensure our infrastructure can scale to meet ever-growing computational and storage demands. Create production-grade web service APIs, SDKs, and other essential tools to deliver a world-class developer experience for all software teams at Zoox. Qualifications Experience designing and building high-performance, distributed storage systems (object/file) for large-scale, GPU-bound workloads. Proficiency in Python, Java, or similar languages for developing data-intensive, high-performance applications. Hands-on experience with cloud platforms (AWS, GCP, Azure), using their storage, GPU, and observability services to provide usage showback for ML practitioners. Bachelor's degree in Computer Science or a related field with a strong foundation in data structures and systems design. Bonus Qualifications Experience with parallel filesystems (e.g., Lustre, FSx) and their integration with container orchestrators via Kubernetes CSI drivers. Deep knowledge of ML frameworks like PyTorch and TensorFlow, and workload schedulers such as SLURM or Kubernetes. Familiarity with emerging AI paradigms, including agentic systems, and observability tools like OpenTelemetry. 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 looking for a software engineer to work on our custom High-Performance Computing infrastructure and its supporting ecosystem of tools and services. This infrastructure is central to machine learning workflows across all Zoox software divisions, from data engineering to computer vision perception to simulation and more. You will take on a breadth of end-to-end responsibilities including distributed system design, algorithmic job scheduling, and adaptive cloud scaling in support of all of Zoox's computational needs.In this role, you will: Design, build, and optimize a petabyte-scale, in-house HPC storage infrastructure, ensuring high performance and reliability for our machine learning workloads across both cloud and on-premise data centers. Drive GPU efficiency by strategically collocating storage and compute, architecting a storage layer that keeps tens of thousands of GPUs fully utilized and prevents bottlenecks. Drive key initiatives in training and storage optimization by partnering with ML practitioners, applying your deep understanding of frameworks such as PyTorch and TensorFlow to meet their evolving demands. Investigate and adopt new distributed system paradigms and cutting-edge technologies to ensure our infrastructure can scale to meet ever-growing computational and storage demands. Create production-grade web service APIs, SDKs, and other essential tools to deliver a world-class developer experience for all software teams at Zoox. Qualifications Experience designing and building high-performance, distributed storage systems (object/file) for large-scale, GPU-bound workloads. Proficiency in Python, Java, or similar languages for developing data-intensive, high-performance applications. Hands-on experience with cloud platforms (AWS, GCP, Azure), using their storage, GPU, and observability services to provide usage showback for ML practitioners. Bachelor's degree in Computer Science or a related field with a strong foundation in data structures and systems design. Bonus Qualifications Experience with parallel filesystems (e.g., Lustre, FSx) and their integration with container orchestrators via Kubernetes CSI drivers. Deep knowledge of ML frameworks like PyTorch and TensorFlow, and workload schedulers such as SLURM or Kubernetes. Familiarity with emerging AI paradigms, including agentic systems, and observability tools like OpenTelemetry. 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 seeking a Senior Thermal System Engineer to join our Vehicle System Integration engineering team. In this key role, you will drive the system requirements, functional architecture, integration, and verification activities to achieve end to end system capability. Collaboration with cross-functional teams is essential, as you'll work with vehicle integration, feature integration, firmware and vehicle component development teams to deliver the overall reliability and performance of our cutting-edge vehicles. We are looking for an engineer that is passionate about developing a ground breaking Robotaxi, has a strong system engineering background, has extensive thermal system experiences, has system problem-solving skills and has a commitment to deliver on time. In this role, you will: * Lead Thermal System and controls for an autonomous robotaxi. * Design system technical specifications and SFMEA for cabin and component thermal management. * Develop system design and integration test plans to ensure optimal thermal performance, safety, and efficiency for subsystems (battery, powertrain, computing), considering cost, mass, and latency. * Collaborate with mechanical, electrical, and firmware teams for system requirements and integration. * Ensure subsystems fulfill requirements and interfaces. * Participate in tech reviews for supplier evaluation and guarantee V&V tests are captured. * Create System FMEAs, diagnostics, and fault reactions for safe operation. Lead issue triage (log/code reviews, HW investigation). * Requires domestic/international travel (2 weeks/year). Qualifications: * Bachelor's or Master's degree in Mechanical Engineering, Thermal Engineering, or related field. * Ten years of experience in thermal engineering, preferably in EVs or automotive systems.· * Strong system-level understanding of diverse vehicle thermal architectures for both cabin and component conditioning. * Familiarity with thermal management requirements specific to autonomous compute, High Voltage Battery, and power electronics in EV platforms. * Strong foundation in heat transfer, thermodynamics, and fluid mechanics. * Experience utilizing thermal simulation and system modeling tools, alongside knowledge of thermal controls and calibration concepts. * Deep knowledge of developing automotive systems using model-based processes. * Deep knowledge of developing electrical systems and subsystems requirements, with proficiency in tools like IBM DOORS, Siemens Polarion, or similar. * Knowledge of automotive electrical architectures, including communication protocols (CAN/LIN/Ethernet) application and defining Physical & Functional interfaces. * Knowledge of Automotive Diagnostics (UDS) routines and the Functional Safety Standard (ISO 26262). Bonus Qualifications: * Experience with Automotive Calibration Development at Vehicle Level * Experience leading development of vehicle program from prototype phase to launch and beyond * Experience with ISO 21448 (SOTIF) or ISO26262 (Automotive functional safety) $196,000 - $236,000 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. 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.

At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. About the Team You'll be part of the team building eBay Live, eBay's newest shopping experience and live shopping platform. Live shopping is a natural extension of eBay's ethos -highlighting unique items, collectibles, and fashion while enabling real-time interaction between buyers and sellers. This is a relatively new trend in the US and Europe, growing quickly, and is already broadly established in APAC. We are looking to hire a passionate, collaborative and motivated Frontend Software Engineer, who will help us develop and evolve eBay Live to be a market leader in live shopping and become a key part of the global eBay platform. Join us to make an impact on one of the world's largest e-commerce websites. What you'll do and learn: * Translate requirements to software design and create clean, efficient, extensible, maintainable code. * Responsible for a large functional area possessing in-depth knowledge and expertise. * Influencer across domain teams and guiding others towards the right technical decisions. * Improves team productivity by identifying and evangelizing opportunities for productivity improvements. * Identifying areas in the team applications likely to change and integrating flexibility in the design for these areas improving engineering velocity. * Collaborate effectively with cross-functional partners to develop innovative solutions that adhere to development goals and principles. * Practices evidence-centered design making features testable, ensuring high quality and improving velocity in continuous delivery. * Manage project features, break into sub-tasks, identify and resolve issues for efficient execution. * Provide technical guidance, code review for immediate team and other teams, contribute and review ADRs (Architecture Decision Records), coaching, and mentorship to individual team members within and outside teams. * Identify gaps and issues across systems and functional areas, propose solutions, build the engineering roadmap, and drive resolution. * Lead engineering support, release, and on-call responsibilities for an "always-on" 24/7 site. What you bring: * Excellent decision-making skills, thrive on dealing with ambiguities and changes. * Strong sense of ownership with outstanding interpersonal skills to work effectively across teams & multiple division stakeholders * Deeply care about growing others, great at mentoring and coaching, creating a large positive impact on organizational culture. * Strong learning ability, self-driven * Attending knowledge sharing sessions, both within the company and externally * Learning transferable skills * Growth mindset and constantly looking for opportunities to learn What we bring: * Exciting Product Mission with Impactful Technical Challenges - Dive into the heart of eCommerce innovation at Buyer Experiences, where we're transforming eBay's shopping journey. By focusing on simplification, personalization, and modernization, we aim to build world-class buyer and seller experiences on eBay marketplaces with creativity and passion. Utilizing cutting-edge technologies like Generative AI, you'll tackle complex challenges that directly improve the shopping experience for millions of eBay users everyday. * Vibrant Culture - At Buyer Experiences, our strength lies in our diversity, transparency, and collaborative spirit. Our open culture ensures every voice is valued and heard. We celebrate our successes together and approach each challenge as an opportunity for collective growth. Be a part of a dynamic community that not only values your expertise but is also committed to your personal and professional growth. * Flexible Working - Enjoy exceptional support for remote work, allowing you to balance your professional and personal life seamlessly. * Competitive Compensation and Benefit - No matter where you are in the world, eBay supports your health and wellbeing with benefits as unique as you. Explore the benefits that help you be your best self. Check out our benefits here: **************************************** Qualifications * Bachelor's degree in EE, CS or other related field. * 8+ years of experience designing front-end systems and development using Javascript/Typescript, React, NodeJS, Server-side rendering using one of the open-sourced UI libraries (Material UI/Angular Material),Integration with REST/GraphQL APIs * Experience in BEM-structured CSS, Webpack and Express.js * Contributions to common libraries/components * Designs and builds scalable, distributed and high-available systems, ensuring high-performant, responsive website and accessibility. * Experience taking a lead role delivering complex software systems and have a strong opinion on how backend systems should work and be integrated seamlessly. The base pay range for this position is expected in the range below: $196,800 - $262,700 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at ***************. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.

At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. About the Team You'll be part of the team building eBay Live, eBay's newest shopping experience and live shopping platform. Live shopping is a natural extension of eBay's ethos -highlighting unique items, collectibles, and fashion while enabling real-time interaction between buyers and sellers. This is a relatively new trend in the US and Europe, growing quickly, and is already broadly established in APAC. We are looking to hire a passionate, collaborative and motivated Frontend Software Engineer, who will help us develop and evolve eBay Live to be a market leader in live shopping and become a key part of the global eBay platform. Join us to make an impact on one of the world's largest e-commerce websites. What you'll do and learn: Translate requirements to software design and create clean, efficient, extensible, maintainable code. Responsible for a large functional area possessing in-depth knowledge and expertise. Influencer across domain teams and guiding others towards the right technical decisions. Improves team productivity by identifying and evangelizing opportunities for productivity improvements. Identifying areas in the team applications likely to change and integrating flexibility in the design for these areas improving engineering velocity. Collaborate effectively with cross-functional partners to develop innovative solutions that adhere to development goals and principles. Practices evidence-centered design making features testable, ensuring high quality and improving velocity in continuous delivery. Manage project features, break into sub-tasks, identify and resolve issues for efficient execution. Provide technical guidance, code review for immediate team and other teams, contribute and review ADRs (Architecture Decision Records), coaching, and mentorship to individual team members within and outside teams. Identify gaps and issues across systems and functional areas, propose solutions, build the engineering roadmap, and drive resolution. Lead engineering support, release, and on-call responsibilities for an "always-on" 24/7 site. What you bring: Excellent decision-making skills, thrive on dealing with ambiguities and changes. Strong sense of ownership with outstanding interpersonal skills to work effectively across teams & multiple division stakeholders Deeply care about growing others, great at mentoring and coaching, creating a large positive impact on organizational culture. Strong learning ability, self-driven Attending knowledge sharing sessions, both within the company and externally Learning transferable skills Growth mindset and constantly looking for opportunities to learn What we bring: Exciting Product Mission with Impactful Technical Challenges - Dive into the heart of eCommerce innovation at Buyer Experiences, where we're transforming eBay's shopping journey. By focusing on simplification, personalization, and modernization, we aim to build world-class buyer and seller experiences on eBay marketplaces with creativity and passion. Utilizing cutting-edge technologies like Generative AI, you'll tackle complex challenges that directly improve the shopping experience for millions of eBay users everyday. Vibrant Culture - At Buyer Experiences, our strength lies in our diversity, transparency, and collaborative spirit. Our open culture ensures every voice is valued and heard. We celebrate our successes together and approach each challenge as an opportunity for collective growth. Be a part of a dynamic community that not only values your expertise but is also committed to your personal and professional growth. Flexible Working - Enjoy exceptional support for remote work, allowing you to balance your professional and personal life seamlessly. Competitive Compensation and Benefit - No matter where you are in the world, eBay supports your health and wellbeing with benefits as unique as you. Explore the benefits that help you be your best self. Check out our benefits here: **************************************** Qualifications Bachelor's degree in EE, CS or other related field. 8+ years of experience designing front-end systems and development using Javascript/Typescript, React, NodeJS, Server-side rendering using one of the open-sourced UI libraries (Material UI/Angular Material),Integration with REST/GraphQL APIs Experience in BEM-structured CSS, Webpack and Express.js Contributions to common libraries/components Designs and builds scalable, distributed and high-available systems, ensuring high-performant, responsive website and accessibility. Experience taking a lead role delivering complex software systems and have a strong opinion on how backend systems should work and be integrated seamlessly. The base pay range for this position is expected in the range below: $196,800 - $262,700 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at ***************. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. Zoox's System Design and Mission Assurance (SDMA) team is responsible for constructing the safety case and validating that our vehicles are safe enough to be deployed for autonomous driving. We play a foundational role for the success of the company. As Zoox prepares to launch our technology on public roads, we are seeking an experienced systems engineer who can bring the system safety engineering discipline to the field operations to ensure safe continuous operations of Zoox technology. In this role, you will: Be the point of contact for SDMA for field service issues related to SDMA safety and fail operational metrics. Triage the issue and lead/support the issue resolution process. Be available to support onsite issue investigation and resolution with short notice. Design and improve internal tooling to support efficient triage and investigation of service events Conduct root cause analysis using industry-standard methodologies (5-why, fault tree, fishbone analysis, FMEA, CAST, etc.) Recommend corrective action plans (short and long-term) and improvement strategies based on investigation findings and align with cross-functional stakeholders (engineering, operations, legal, safety policy, manufacturing, etc.) to define the solutions. These corrective action plans could include engineering solutions in hardware and software, as well as operational mitigations and process improvement Ensure continuous feedback loop to to improve and refine operational safety requirements Proactively identify potential safety hazards and service issues in Zoox's field operation of autonomous driving as a service through structured predictive safety analysis and review of historical operational data. Be a part of the rotational on-call engineering team during milestone launches and operations. Brief and report to executive teams Qualifications BS degree in a relevant engineering field Have minimally 6-8 years of working level experience and 5+ years of experience in deploying and managing complex field operations in relevant domains Hands on experience with incident investigations Experience automating and improving processes for quality and efficiency Systems engineering and system safety training Possesses excellent EQ with an empathetic communication style that fosters connection, collaboration and motivation Track-record in managing complex cross-functional projects Bonus Qualifications Working experience in automotive industry or the autonomous driving technology industry Familiarity with large-scale data analysis and prioritization for use in quantitative risk analysis Working level experience with safety critical systems Familiarity with industry safety standards such as MIL-STD-882, ISO 26262, ISO 21448, 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 seeking a Senior Thermal System Engineer to join our Vehicle System Integration engineering team. In this key role, you will drive the system requirements, functional architecture, integration, and verification activities to achieve end to end system capability. Collaboration with cross-functional teams is essential, as you'll work with vehicle integration, feature integration, firmware and vehicle component development teams to deliver the overall reliability and performance of our cutting-edge vehicles. We are looking for an engineer that is passionate about developing a ground breaking Robotaxi, has a strong system engineering background, has extensive thermal system experiences, has system problem-solving skills and has a commitment to deliver on time.In this role, you will: Lead Thermal System and controls for an autonomous robotaxi. Design system technical specifications and SFMEA for cabin and component thermal management. Develop system design and integration test plans to ensure optimal thermal performance, safety, and efficiency for subsystems (battery, powertrain, computing), considering cost, mass, and latency. Collaborate with mechanical, electrical, and firmware teams for system requirements and integration. Ensure subsystems fulfill requirements and interfaces. Participate in tech reviews for supplier evaluation and guarantee V&V tests are captured. Create System FMEAs, diagnostics, and fault reactions for safe operation. Lead issue triage (log/code reviews, HW investigation). Requires domestic/international travel (2 weeks/year). Qualifications: Bachelor's or Master's degree in Mechanical Engineering, Thermal Engineering, or related field. Ten years of experience in thermal engineering, preferably in EVs or automotive systems.· Strong system-level understanding of diverse vehicle thermal architectures for both cabin and component conditioning. Familiarity with thermal management requirements specific to autonomous compute, High Voltage Battery, and power electronics in EV platforms. Strong foundation in heat transfer, thermodynamics, and fluid mechanics. Experience utilizing thermal simulation and system modeling tools, alongside knowledge of thermal controls and calibration concepts. Deep knowledge of developing automotive systems using model-based processes. Deep knowledge of developing electrical systems and subsystems requirements, with proficiency in tools like IBM DOORS, Siemens Polarion, or similar. Knowledge of automotive electrical architectures, including communication protocols (CAN/LIN/Ethernet) application and defining Physical & Functional interfaces. Knowledge of Automotive Diagnostics (UDS) routines and the Functional Safety Standard (ISO 26262). Bonus Qualifications: Experience with Automotive Calibration Development at Vehicle Level Experience leading development of vehicle program from prototype phase to launch and beyond Experience with ISO 21448 (SOTIF) or ISO26262 (Automotive functional safety)

Job DescriptionZoox is seeking a Senior Thermal System Engineer to join our Vehicle System Integration engineering team. In this key role, you will drive the system requirements, functional architecture, integration, and verification activities to achieve end to end system capability. Collaboration with cross-functional teams is essential, as you'll work with vehicle integration, feature integration, firmware and vehicle component development teams to deliver the overall reliability and performance of our cutting-edge vehicles. We are looking for an engineer that is passionate about developing a ground breaking Robotaxi, has a strong system engineering background, has extensive thermal system experiences, has system problem-solving skills and has a commitment to deliver on time.In this role, you will: Lead Thermal System and controls for an autonomous robotaxi. Design system technical specifications and SFMEA for cabin and component thermal management. Develop system design and integration test plans to ensure optimal thermal performance, safety, and efficiency for subsystems (battery, powertrain, computing), considering cost, mass, and latency. Collaborate with mechanical, electrical, and firmware teams for system requirements and integration. Ensure subsystems fulfill requirements and interfaces. Participate in tech reviews for supplier evaluation and guarantee V&V tests are captured. Create System FMEAs, diagnostics, and fault reactions for safe operation. Lead issue triage (log/code reviews, HW investigation). Requires domestic/international travel (2 weeks/year). Qualifications: Bachelor's or Master's degree in Mechanical Engineering, Thermal Engineering, or related field. Ten years of experience in thermal engineering, preferably in EVs or automotive systems.· Strong system-level understanding of diverse vehicle thermal architectures for both cabin and component conditioning. Familiarity with thermal management requirements specific to autonomous compute, High Voltage Battery, and power electronics in EV platforms. Strong foundation in heat transfer, thermodynamics, and fluid mechanics. Experience utilizing thermal simulation and system modeling tools, alongside knowledge of thermal controls and calibration concepts. Deep knowledge of developing automotive systems using model-based processes. Deep knowledge of developing electrical systems and subsystems requirements, with proficiency in tools like IBM DOORS, Siemens Polarion, or similar. Knowledge of automotive electrical architectures, including communication protocols (CAN/LIN/Ethernet) application and defining Physical & Functional interfaces. Knowledge of Automotive Diagnostics (UDS) routines and the Functional Safety Standard (ISO 26262). Bonus Qualifications: Experience with Automotive Calibration Development at Vehicle Level Experience leading development of vehicle program from prototype phase to launch and beyond Experience with ISO 21448 (SOTIF) or ISO26262 (Automotive functional safety) 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.

At Zoox, we're redefining mobility by building an autonomous ride-sharing experience that's safe, efficient, and unlike anything on the road today. As a Staff Vehicle Attributes Engineer, you'll work alongside world-class experts in robotics, controls, and vehicle engineering to bring this vision to life. In this role, you'll sit at the heart of Vehicle Integration, leading attribute teams, driving cross-functional efforts, and championing every element of our vehicle meets the highest standards of performance, comfort, and safety. In this role, you will: * Lead cross-functional vehicle attribute teams (e.g., vehicle dynamics, NVH, thermal, energy, safety, ergonomics) to deliver key program milestones for Zoox's next-generation autonomous vehicle platforms. * Define the vehicle performance of Zoox's next-generation autonomous vehicles to meet program requirements. * Partner closely with Attribute Leads to define development plans, align priorities, and ensure seamless execution across engineering disciplines. * Champion strategic decision-making by balancing performance, cost, mass, safety, and timing to achieve optimal balance and integration of vehicle attributes * Deliver performance targets, identify gaps, and drive data-based root cause analyses and resolution plans * Prepare and present attribute status updates for program reviews and leadership gates, ensuring risks and trade-offs are clearly communicated * Drive initiatives such as defining and developing test assets and methodologies to validate vehicle-level requirements Qualifications * Bachelor's or Masters degree in Engineering * At least 10+ years of experience in vehicle attribute development or integration * Deep technical understanding of vehicle systems, validation, and cross-functional integration * Proven ability to manage multiple priorities, drive decisions, and deliver results in a fast-paced environment * Experience leading and guiding a vehicle development program * Skilled in data analysis, documentation, and reporting; proficiency with Smartsheet, Jira, and Google Workspace Bonus Qualifications * Experience in Technical Program Management * Experience in electric or autonomous vehicle development preferred $187,000 - $225,000 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.

Job DescriptionAt Zoox, we're redefining mobility by building an autonomous ride-sharing experience that's safe, efficient, and unlike anything on the road today. As a Staff Vehicle Attributes Engineer, you'll work alongside world-class experts in robotics, controls, and vehicle engineering to bring this vision to life. In this role, you'll sit at the heart of Vehicle Integration, leading attribute teams, driving cross-functional efforts, and championing every element of our vehicle meets the highest standards of performance, comfort, and safety.In this role, you will: Lead cross-functional vehicle attribute teams (e.g., vehicle dynamics, NVH, thermal, energy, safety, ergonomics) to deliver key program milestones for Zoox's next-generation autonomous vehicle platforms. Define the vehicle performance of Zoox's next-generation autonomous vehicles to meet program requirements. Partner closely with Attribute Leads to define development plans, align priorities, and ensure seamless execution across engineering disciplines. Champion strategic decision-making by balancing performance, cost, mass, safety, and timing to achieve optimal balance and integration of vehicle attributes Deliver performance targets, identify gaps, and drive data-based root cause analyses and resolution plans Prepare and present attribute status updates for program reviews and leadership gates, ensuring risks and trade-offs are clearly communicated Drive initiatives such as defining and developing test assets and methodologies to validate vehicle-level requirements Qualifications Bachelor's or Masters degree in Engineering At least 10+ years of experience in vehicle attribute development or integration Deep technical understanding of vehicle systems, validation, and cross-functional integration Proven ability to manage multiple priorities, drive decisions, and deliver results in a fast-paced environment Experience leading and guiding a vehicle development program Skilled in data analysis, documentation, and reporting; proficiency with Smartsheet, Jira, and Google Workspace Bonus Qualifications Experience in Technical Program Management Experience in electric or autonomous vehicle development 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.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.

At Zoox, we're redefining mobility by building an autonomous ride-sharing experience that's safe, efficient, and unlike anything on the road today. As a Staff Vehicle Attributes Engineer, you'll work alongside world-class experts in robotics, controls, and vehicle engineering to bring this vision to life. In this role, you'll sit at the heart of Vehicle Integration, leading attribute teams, driving cross-functional efforts, and championing every element of our vehicle meets the highest standards of performance, comfort, and safety.In this role, you will: Lead cross-functional vehicle attribute teams (e.g., vehicle dynamics, NVH, thermal, energy, safety, ergonomics) to deliver key program milestones for Zoox's next-generation autonomous vehicle platforms. Define the vehicle performance of Zoox's next-generation autonomous vehicles to meet program requirements. Partner closely with Attribute Leads to define development plans, align priorities, and ensure seamless execution across engineering disciplines. Champion strategic decision-making by balancing performance, cost, mass, safety, and timing to achieve optimal balance and integration of vehicle attributes Deliver performance targets, identify gaps, and drive data-based root cause analyses and resolution plans Prepare and present attribute status updates for program reviews and leadership gates, ensuring risks and trade-offs are clearly communicated Drive initiatives such as defining and developing test assets and methodologies to validate vehicle-level requirements Qualifications Bachelor's or Masters degree in Engineering At least 10+ years of experience in vehicle attribute development or integration Deep technical understanding of vehicle systems, validation, and cross-functional integration Proven ability to manage multiple priorities, drive decisions, and deliver results in a fast-paced environment Experience leading and guiding a vehicle development program Skilled in data analysis, documentation, and reporting; proficiency with Smartsheet, Jira, and Google Workspace Bonus Qualifications Experience in Technical Program Management Experience in electric or autonomous vehicle development preferred 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.