Zoox
Seattle, Washington
Job Description Job Description The Zoox 3D Sensor Simulation team's work is at the core of creating in-the-loop simulation and high fidelity synthetic data for training and testing autonomous vehicle AI. We are looking for a machine learning professional with experience applying ML to sensor data, such as LiDAR, radar, and cameras. This role lies at the intersection of machine learning and 3D simulation at Zoox, ranging from learned sensor models to neural 3D reconstruction. By improving the realism of simulated sensors (lidar, radar, and cameras), you'll enable the Zoox robotics autonomy stack to learn, improve, and enhance the mobility of humans. In this role, you will: Design, train, and validate ML models that improve the realism of simulated lidar, radar, and camera data in autonomous vehicle (AV) simulation pipelines. Collaborate with Synthetic Data and HIL Sim teams to integrate 3DGS and NeRF-based 3D reconstruction with simulation of all sensor modalities. Build and curate training datasets from real and simulated sensor data, including GenAI-based data augmentation. Partner with Sim V&V and Perception engineers to define sensor realism metrics and close the sim-to-real gaps with the greatest impact on autonomy. Mentor engineers and interns, and establish best practices for training and deploying ML on Zoox sensor data. Qualifications: 3+ years of experience developing ML models in Python with PyTorch or TensorFlow Industry experience applying ML to sensor data (lidar, radar, and/or cameras) Solid understanding of customizing, tuning, and validating ML training pipelines Bonus Qualifications: Experience with generative techniques such as diffusion, flow matching, or VAEs Experience with 3D reconstruction (3DGS, NeRFs) or differentiable rendering Prior experience developing autonomy in AVs or other robotics and computer vision 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 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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 Description Job Description The Zoox 3D Sensor Simulation team's work is at the core of creating in-the-loop simulation and high fidelity synthetic data for training and testing autonomous vehicle AI. We are looking for a machine learning professional with experience applying ML to sensor data, such as LiDAR, radar, and cameras. This role lies at the intersection of machine learning and 3D simulation at Zoox, ranging from learned sensor models to neural 3D reconstruction. By improving the realism of simulated sensors (lidar, radar, and cameras), you'll enable the Zoox robotics autonomy stack to learn, improve, and enhance the mobility of humans. In this role, you will: Design, train, and validate ML models that improve the realism of simulated lidar, radar, and camera data in autonomous vehicle (AV) simulation pipelines. Collaborate with Synthetic Data and HIL Sim teams to integrate 3DGS and NeRF-based 3D reconstruction with simulation of all sensor modalities. Build and curate training datasets from real and simulated sensor data, including GenAI-based data augmentation. Partner with Sim V&V and Perception engineers to define sensor realism metrics and close the sim-to-real gaps with the greatest impact on autonomy. Mentor engineers and interns, and establish best practices for training and deploying ML on Zoox sensor data. Qualifications: 3+ years of experience developing ML models in Python with PyTorch or TensorFlow Industry experience applying ML to sensor data (lidar, radar, and/or cameras) Solid understanding of customizing, tuning, and validating ML training pipelines Bonus Qualifications: Experience with generative techniques such as diffusion, flow matching, or VAEs Experience with 3D reconstruction (3DGS, NeRFs) or differentiable rendering Prior experience developing autonomy in AVs or other robotics and computer vision 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 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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
Hayward, California
Job Description Job Description As our 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 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 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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 Description Job Description As our 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 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 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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
Alpine, California
Job Description Job Description At Zoox, the release teams handle the complex orchestration of releases spanning vehicle, cloud, and client code bases. From first commit to full production, our mission is to make every release predictable, transparent, and fast. We build the tooling and automation that improves the release lifecycle for our own teams and for teams across Zoox. We are seeking a technical expert in version control, continuous integration, and build systems who is equally comfortable driving a release end to end and engineering the systems that streamline it. You will work closely with our customers, from the teams whose components we release to the downstream consumers of each build, translating their needs into a better release experience and serving as a force multiplier within our team and beyond. In this role, you will: Own the end-to-end release process for a portfolio of vehicle software components, from branch cut through validation, hotfixes, and deployment to production Coordinate release readiness across integration, QA, and component teams, tracking readiness indicators and securing the approvals that confirm each release is production-ready Build and scale automation that removes manual release work, from branch management and merge workflows to release visibility and metrics Partner closely with our customers, the teams whose components we release and the downstream consumers of each build, turning their needs into process improvements Multiply the impact of release teams across Zoox by turning what works into shared tooling and practices, accelerating how quickly software reaches the fleet Qualifications: 3-5 years of experience in release engineering, build engineering, or release management for large, complex software products Bachelor's or Master's degree in engineering or computer science, or equivalent experience Proficiency with Git, including branch management and conflict resolution Experience building and operating CI/CD pipelines with tools such as Buildkite, Jenkins, or Bamboo Programming experience in Python or another scripting language, including automating release or build workflows Excellent communication skills and ability to quickly adapt to changes Bonus Qualifications: Experience with Bazel Experience releasing embedded, firmware, or safety-critical software Familiarity with cloud platforms such as AWS or Azure 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 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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 Description Job Description At Zoox, the release teams handle the complex orchestration of releases spanning vehicle, cloud, and client code bases. From first commit to full production, our mission is to make every release predictable, transparent, and fast. We build the tooling and automation that improves the release lifecycle for our own teams and for teams across Zoox. We are seeking a technical expert in version control, continuous integration, and build systems who is equally comfortable driving a release end to end and engineering the systems that streamline it. You will work closely with our customers, from the teams whose components we release to the downstream consumers of each build, translating their needs into a better release experience and serving as a force multiplier within our team and beyond. In this role, you will: Own the end-to-end release process for a portfolio of vehicle software components, from branch cut through validation, hotfixes, and deployment to production Coordinate release readiness across integration, QA, and component teams, tracking readiness indicators and securing the approvals that confirm each release is production-ready Build and scale automation that removes manual release work, from branch management and merge workflows to release visibility and metrics Partner closely with our customers, the teams whose components we release and the downstream consumers of each build, turning their needs into process improvements Multiply the impact of release teams across Zoox by turning what works into shared tooling and practices, accelerating how quickly software reaches the fleet Qualifications: 3-5 years of experience in release engineering, build engineering, or release management for large, complex software products Bachelor's or Master's degree in engineering or computer science, or equivalent experience Proficiency with Git, including branch management and conflict resolution Experience building and operating CI/CD pipelines with tools such as Buildkite, Jenkins, or Bamboo Programming experience in Python or another scripting language, including automating release or build workflows Excellent communication skills and ability to quickly adapt to changes Bonus Qualifications: Experience with Bazel Experience releasing embedded, firmware, or safety-critical software Familiarity with cloud platforms such as AWS or Azure 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 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.