Lead design and delivery of fail-operational capabilities across Vehicle, Autonomy, and Operations. Create verifiable requirements and model-based designs, coordinate cross-functional implementation and validation, quantify product risks with functional safety, and drive triage and debug with stakeholders.
About 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.
Qualifications
- 8 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 Qualifications
- Prior experience in fail-operational or safety-critical systems design
- Experience with software development and architecture principles
- Experience with requirements management tools (Polarion, DOORS, JAMA, etc) and MBSE tools (Cameo, Magicdraw, Catia Magic, etc)
Zoox Foster City, California, USA Office
4000 E 3rd Ave, Foster City, CA, United States, 94404
Zoox Foster City, California, USA Office
1149 Chess Drive, Foster City, CA, United States, 94404
Zoox Fremont, California, USA Office
47540 Kato Road, Fremont, CA, United States, 94538
Zoox San Francisco, California, USA Office
60 Broadway St, San Francisco, CA, United States, 94111
Similar Jobs
AdTech • Big Data • Digital Media • Software
Manage technical escalations for the DV+ platform, analyze large datasets with SQL and Excel, leverage AI tools to automate workflows, troubleshoot complex integrations and APIs, and coordinate cross-functional teams to drive scalable operational solutions.
Top Skills:
Ai ToolsAPIsExcelSQL
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads measurement and product marketing for eight enterprise AI platforms. Builds shared KPI, taxonomy, scorecard, data-quality, and value-realization frameworks; translates usage and outcome data into executive insights and investment guidance. Oversees positioning, internal launches, campaigns, enablement, adoption, and audience segmentation. Partners across product, engineering, data, communications, and business teams while building and managing teams responsible for analytics, marketing, and communications.
Top Skills:
Ai PlatformsBusiness IntelligenceDashboardsData ContractsData FabricData VisualizationEvent TaxonomyExperimentationKnowledge GraphsKpi FrameworksOkr PlatformsProduct AnalyticsTelemetry
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads product strategy, roadmap, lifecycle ownership, adoption, and measurable outcomes for a greenfield enterprise AI platform. Defines platform boundaries, governance controls, evaluation, registration, and cost-tracking capabilities while translating evolving risk, privacy, security, and GxP requirements into usable product features. Partners with engineering, design, legal, compliance, risk, security, and global agent-building teams to prioritize investments, guide delivery, communicate direction, and drive platform adoption.
Top Skills:
AgileAIAi AgentsAi GovernanceGxpLeanModel Evaluation
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine


