Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Lead end-to-end hardware organization for AeroVect vehicle platforms across mechanical, electrical, and electromechanical domains. Own hardware roadmap, architecture, drive-by-wire and safety-critical systems, sensor and compute integration, DFM, supplier/CM relationships, and manufacturing scale. Hire and run the hardware organization while remaining hands-on in design reviews and field reliability improvements to enable certified, driverless operation at scale.

Design and integrate mechanical systems for sensors, computing, and autonomous hardware on production vehicles. Rapidly prototype, test, and iterate designs; lead assembly, validation, and troubleshooting of retrofitted vehicles; collaborate with hardware, software, and systems teams; and mentor junior engineers while ensuring manufacturability and robust production-ready solutions.

Own and productionize core localization systems (state estimation, mapping, calibration). Build monitoring, diagnostics, validation, and deployment tooling. Integrate sensors, tune performance, run regression testing, and iterate using data from real autonomous airport operations to enable driverless capability.

Lead design, analysis, and verification/validation of autonomous vehicle subsystems. Develop data pipelines for V&V, author and maintain requirements and architecture artifacts, define safety behaviors, track KPIs, surface risks, collaborate cross-functionally, mentor junior engineers, and support deployments. Up to 25% travel.

Design, build, and maintain cloud-based data pipelines and infrastructure on AWS, integrating on-prem and cloud flows. Implement IaC, CI/CD, containerization, observability, and automation to ensure high-throughput, reliable data ingestion and processing for autonomous systems.

Lead and scale the autonomy organization, owning technical strategy and roadmap for perception, prediction, planning, controls, and localization. Manage hiring, operating cadence, and delivery across the autonomy stack, interface with Systems, Safety, Platform, Hardware, Simulation, and Product, and remain hands-on in design reviews and debugging to deliver production autonomy on real vehicles.

Lead system safety engineering for autonomous ground vehicles: perform hazard analyses (HARA, FMEA, FTA, STPA), FMEDA and PMHF, calculate failure rates per industry standards, derive and trace functional and hardware safety requirements for supervised and driverless operation, evaluate sensors and drive-by-wire architectures, and support safety case evidence for airport deployment.