Staff Autonomy Systems Engineer (San Mateo)

Foster City, CAExtended HW Teams – E2E Feature Integration and Homologation /Full-time /On-siteThe End-to-End (E2E) Feature and Homologation team brings systems engineering focus and discipline to Zoox mobility-as-a-service deployment and operations. We are systems engineers working with key business stakeholders to define and deliver remarkable product capabilities that span across Vehicle, Autonomy, and Operations segments. We partner with the systems teams from each domain by leveraging their deep technical knowledge, implementation expertise, and validation techniques to deliver a fully verified product capability. The result is E2E ownership of a world-class mobility service.Autonomy Systems Engineer, Environmental Expansion is the champion of autonomy capability in various environmental conditions. You will be responsible for ensuring that autonomy systems (hardware and software) and VnV pipelines (simulation, testing, and metrics) can support the target weather conditions. Through strong relationships with internal stakeholders (Product, Safety, Operations, Legal, etc.) and other systems engineers, you will deliver: design solutions, systems engineering documentation, multi-quarter capability plans, verification plans, and debug support.In This Role, You Will: Work closely with Marketing, Product, and Safety teams to refine the multi-year product roadmap to an aligned ODD definition.Work closely with Software, Hardware, and Safety teams to refine the ODD definition and match to integrated technology roadmaps, VnV methodologies, and simulation capability.Identify technology gaps and propose novel solutions. Use data and simulations to support the proposal. Deliver presentations that convey the business need, the problem statement, the proposed solution, and the team required.Build and lead the cross-functional team to deliver the new technology. Shepherding these features throughout the entire V cycle by working closely with simulation, implementation, and validation teams.Create and maintain high-quality and verifiable requirements, decomposing input from stakeholders to drive clarity and precision for systems specifications. QualificationsAt least 11 years of engineering experience, alongside a Bachelor’s degree in Engineering, Computer Science, or Physics.Experience designing complex systems that integrate multiple hardware and software components, paired with a solid understanding of full HW/SW development lifecycles.Strong track record of producing high-quality technical documentation (e.g., context diagrams, requirements decomposition, presentations)Proven ability to drive organizational alignment and navigate complex, high-stakes tradeoff decisions across competing stakeholder and executive prioritiesBonus Qualifications Experience with core autonomous software systems (Sensor fusion, HD Mapping, Localization, Perception, Prediction, Motion Planning, Control)Experience with systems simulation and modeling (Cameo, Magicdraw, Catia Magic)$224,000 - $270,000 a yearBase Salary RangeThere 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 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.