Senior Systems Engineer, Fail Operational Capabilities

Foster City, CAProduct, Features & Homologation – E2E Feature Integration and Homologation /Full-time /On-siteAbout the Team The 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.About the Role E2E Feature Engineers are the champions of their feature domains, which cut across Vehicle, Autonomy, and Operations segments of the Zoox mobility service. You will be responsible for developing Fail-Operational capabilities of the Zoox mobility service. 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 Lead the design of Fail-Operational behaviors while balancing safety, reliability, and operational efficiency. Partner with the functional safety team to identify product risks and quantify fail-operational performance.Own the outcome for the design and implementation of features with Hardware, Software, Operations, IT, Safety, Manufacturing, and Validation teams throughout the entire V cycle.Create and maintain high-quality and verifiable requirements and model-based designs, decomposing input from stakeholders to drive clarity and precision for systems specifications. Lead triage with cross-functional stakeholders for bugs or reported issues.Qualifications8 years of engineering work 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.Demonstrated ability to deliver strong technical documentation (context diagrams, requirement decomposition, presentations)Proven leadership, organization, and communication skills.Bonus QualificationsPrior experience in fail-operational or safety-critical systems designExperience with software development and architecture principlesExperience with requirements management tools (Polarion, DOORS, JAMA, etc) and MBSE tools (Cameo, Magicdraw, Catia Magic, etc)$204,000 - $280,000 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.