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

Owner of full-cycle recruiting for hard-to-fill engineering roles across robotics, autonomy, perception, ML, controls, embedded, mechanical and electrical engineering. Partner with engineering leaders to define role scopes, proactively source senior technical talent, manage candidate experience and offers, track hiring metrics, and champion employer brand.

Lead integration and system-level design for autonomous electric vehicle subsystems across mechanical, electrical, and software domains. Define architectures and interfaces, perform performance, safety, and reliability analysis, plan and execute vehicle-level testing and validation, troubleshoot system-level issues, manage requirements, and support deployment and field resolution.

Lead the end-to-end functional/system safety lifecycle for an autonomous vehicle program: hazard analyses, safety requirements, safety case/evidence, and verification strategy across simulation and vehicle testing. Drive safety-critical architecture decisions, ensure traceability from requirements to tests, establish lightweight safety processes, and guide teams on relevant standards (ISO 26262, SOTIF, UL 4600). Collaborate across autonomy, vehicle platform, embedded/compute, simulation, and test to produce safety evidence for internal and external review.

Own and improve sensor extrinsic calibration and localization systems for autonomous trucks. Develop evaluation metrics and fleet-scale frameworks, debug real-world failures, and collaborate across autonomy, vehicle software, and data teams to tighten sensor geometry and state-estimation pipelines.

Own system-level requirements and architecture for an autonomous vehicle platform. Decompose vehicle requirements into subsystem/component requirements, run design reviews, drive verification/validation, partner with Mechanical, SW/Autonomy, and Functional Safety teams, and lead root-cause analysis and requirement-based improvements.

Build and optimize real-time on-vehicle software for autonomous trucks, including data logging, cross-compilation pipelines, performance instrumentation, testing/CI, and integrations with ML, firmware, cloud, and fleet systems.

Design and maintain pipelines and tooling to ingest, validate, model, and serve multi-modal driving data for ML training, evaluation, and debugging. Collaborate with ML, vehicle software, curation, and fleet teams to scale the data stack and make datasets discoverable and queryable.

Lead end-to-end design and delivery of the electric powertrain system (battery, HV distribution, motors, inverters, drivetrain). Define system architecture, perform system-level modeling and validation, integrate battery/BMS and thermal strategies, oversee prototype builds and testing, manage suppliers, and ensure HV safety, durability, and production readiness.

Design, build, and scale ML infrastructure: ingest vehicle sensor data, create batch pipelines for dataset curation, run distributed GPU training, and ensure performance, observability, efficiency, and security across the ML pipeline while partnering with ML teams.

Design, prototype, and validate mechanical systems for large autonomous vehicles. Create CAD models and drawings, build and test hardware in-shop, integrate sensors and subsystems, manage sourcing and vendors, perform root cause analysis, and support field testing and deployments.