Vehicle Safety - Occupant Protection Engineer

The Senior Supplier Quality Engineer will play a key role in ensuring world-class performance of the Zoox prototype and production Seating and Vehicle Interiors supply base, and drive continuous improvement. The ideal candidate will be entrepreneurial, driven, energetic, detailed, and team-oriented, with deep hands-on knowledge of seat systems and interior trim manufacturing. Candidates with experience across seating and interior commodities — seat structures and mechanisms, foam-in-place and molded foam, cut-and-sew and trim covers, door trim, headliners, and carpet — and a strong working understanding of manufacturing processes such as injection molding, foam molding, cut-and-sew, lamination and wrapping, welding and stamping of seat frames, and electromechanical sub-assembly will be highly preferred. In this role, you will: Partner with Vehicle Interiors Engineering, Design, and Strategic Sourcing to select suppliers based on manufacturing capability, capacity, and quality maturity. Collaborate with suppliers on design reviews to ensure seats and interior trim parts are manufacturable, and explore new production techniques and materials where needed. Lead the supplier industrialization process from design through production ramp-up, including soft tooling to hard tooling transitions. Support suppliers with tooling, foam molds, sew fixtures, gauges, and process qualifications; witness and approve tooling and process buy-offs on site. Drive the APQP process and support PPAP through start of production, including dimensional, material, appearance, and performance validation. Own craftsmanship and appearance quality for occupant-facing surfaces — grain, gloss, color and material matching, gap and flush, seam quality, stitch integrity, and trim fit — and establish master and boundary sample processes with suppliers. Ensure supplier compliance with seating safety and interior material require

About Zoox Zoox is developing fully autonomous vehicles and the supporting ecosystem required to bring the technology to market at scale. 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 believe the transition to self-driving vehicles requires a combination of elegant vision and uncompromising execution. The Role At Zoox we have set the goal to provide our customers with the highest level of safety while using our fully autonomous vehicles. You will work with a team of world-class engineers with diverse backgrounds such as robotics, control, and vehicle engineering, to deliver the Vehicle Safety performance. Performing the occupant safety simulation activities through the virtual and physical development phases, to sign off and certification. Using analysis, reporting and excellent communication skills to give clear inputs to the safety attribute team to ensure complete vehicle safety targets are met. Working at a startup gives you the chance to manifest your creativity and make a big difference in the final product. In This Role, You will: Support vehicle level safety targets to support the Zoox safety strategy Take ownership of the occupant safety CAE and support balancing with other Vehicle Integration Attributes Setting up the vehicle, dummy, restraints models and co-ordinating model build Support the correlation virtual / physical Support the overall vehicle structural analysis with respect to various attributes Support virtual DVPs and execute accordingly Suggest countermeasure design solutions Generate virtual analysis engineering reports Support report outs at project gateways Experience of leading small teams and weekly cadence meetings Qualifications Masters degree in mechanical engineering, or related field</l

The Component and System Hardware Validation team at Zoox is responsible for ensuring our components and sub-systems on the Zoox robotaxi meet all functional and reliability targets needed to facilitate our autonomous mobility service. Our team has an action-biased culture marked by integrity, humility, competence, and passion for the Zoox mission and the systems we design. We are building real products here and are looking for doers to join us. As a validation engineer supporting seating, restraints and airbags, you will be responsible for establishing and executing a robust and rigorous validation process from requirements development through report approval. This will include managing internal and external testing resources as well as supplier-led validation activities which ensure durability, reliability, and safety targets are satisfied. You will work closely with cross-functional teams to understand root causes of failures, identify mitigation strategies, and incorporate learnings into new designs. In this role, you will: Develop and manage test plans to validate mechanical, electrical, and environmental failure modes around our interior trim, seating and restraints systems (Occupant Classification, airbags, seatbelts, ACU). Collaborate with design engineers to ensure that requirements are clearly defined and captured within the validation plan Identify appropriate test assets, data acquisition systems, and sensors to ensure high-quality test data Analyze test data to provide clear and concise reporting of test results Support DFMEA activities to ensure that all potential failure modes are adequate covered within the validation plan Support root cause failure analysis activities during development, validation, and deployment Design test fixtures necessary to complete testing Manage validation schedule to ensure appropriate test assets are available and c

Our Simulation team builds the tools that engineers across the company rely on to validate autonomous vehicle safety and performance - including 3D scenario authoring tools, generative models for realistic traffic and scenario generation, and agentic tooling that automates manual simulation workflows. The team combines traditional software engineering with machine learning engineers, and the simulation coverage they deliver directly determines how many miles, scenarios, and edge cases we can validate before each autonomy release. We're looking for an Engineering Manager to lead a team of software and ML engineers building the scenario authoring tools, generative models, and agentic tooling that engineering relies on broadly to validate autonomous vehicle safety and performance. You'll own the team's technical direction - including its ongoing shift toward generative AI - while growing and developing the team, and you'll partner cross-functionally to scale our generative scenario creation capabilities as a company-wide capability with executive visibility. In this role, you will: Manage and grow a mixed team of software and machine learning engineers building simulation tools that are used broadly across engineering to validate autonomous vehicle safety and performance. Set and drive the team's technical direction, investing in agentic tooling to automate manual simulation workflows and deploying in-house generative models for exploratory vehicle testing. Lead high-visibility, cross-functional initiatives to scale the company's generative scenario creation capabilities, partnering with stakeholders across engineering and earning executive sponsorship. Own delivery of simulation tooling and services, including scenario authoring tools (e.g., 3D visual editors) used broadly across engineering teams. Ensure simulation tooling keeps pace with new Operational Design Domain (ODD) capabilities and upcoming autonomy milestones.<

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. As a Systems Engineer at Zoox, you will be working with cross functional teams including product, feature, operations, vehicle engineering, software, autonomy, and legal to design, develop, and deploy systems that enable and support safe autonomous driving. You are responsible for ensuring these systems are developed within a safety engineering process that results in end-to-end traceability and achievement of both system safety targets and product requirements. In this role, you will: Lead powertrain safety and fail-operational design and analysis covering high-voltage battery systems, charging, propulsion, and on-vehicle load management Architect vehicle-level safety concepts, focusing on fault tolerance, and fail-operational behaviors necessary for supporting autonomy and ensuring mission assurance on the vehicle’s powertrain functions Develop vehicle level safety concepts covering fault detection, and vehicle level reaction for ensuring the powertrain systems can achieve mission objectives under presence of faults Own the delivery of key work-products including hazard analysis risk assessment (HARA), fault tree analysis (FTA), functional safety concept, vehicle level safety requirements, safety clearance artifacts, and quantitative residual risk assessments Drive consensus across product, feature, operations, vehicle engineering, software, autonomy and legal teams to implement and release safety requirements Qualifications B.S. or higher degree in Automotive, Aerospace, Robotics, Computer Science, Electrical, Mechanical, or

The Collision Avoidance System (CAS) is responsible for detecting and reacting to imminent collision situations in support of our vehicle’s overall safety goals. CAS Perception is responsible for processing raw sensor data from our vehicle’s world-class sensor suite using a combination of geometric, interpretable algorithms and deep learning to detect near-collisions with obstacles along our intended driving path, in the most challenging dense urban environments and under tight compute resource constraints. Overall CAS is parallel and complementary to our Main Artificial Intelligence (AI) autonomy stack, and has a close relationship with our vehicle hardware and safety teams in order to architect redundancy into our overall driving system. The CAS Verification & Validation (CAS V&V) is a multidisciplinary team data, software and systems engineers defining and building metrics to measure the Collision Avoidance System performance and work with the Systems Design and Mission Assurance (SDMA) and QA teams to develop validation plans for the features. In this role, you will: Apply distributed computing algorithms to analyze petabytes of urban driving data. Develop metrics and tools to analyze errors and system improvements. Work closely with CAS engineers to evaluate system performance. Collaborate with Perception engineers to define metrics for autonomous driving. Partner with Planning engineers to measure performance in complex urban environments. Qualifications: BS, MS, or PhD degree in computer science or a related field Fluency in C++ and/or Python Extensive experience with programming and algorithm design Bonus Qualifications: Experience with analysis of latency for safety-critical software systems Experience with petabyte-scale distributed computing (Spark, Databricks, generic MapReduce pipelines) <li