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

Perform system and hardware safety analyses for autonomous vehicle platforms, including HARA, FMEA, FTA, STPA, FMEDA, diagnostic coverage, and PMHF calculations. Derive and trace functional, technical, and hardware safety requirements for redundant and fail-operational architectures. Evaluate compute hardware, sensors, actuators, and power systems for faults, collaborate with multidisciplinary engineering and test teams, and support safety-case development for airport deployments.

Architect and deploy multimodal 2D/3D object detection systems using camera, LiDAR, and radar. Build data collection, evaluation, and proprietary dataset pipelines; train, monitor, and improve production perception models; develop the perception roadmap; and mentor junior engineers. The role requires end-to-end perception stack experience, cross-functional leadership, Python proficiency, and advanced education in computer science, robotics, or deep learning.

Own and productionize localization, mapping, calibration, and state-estimation systems for autonomous ground vehicles operating at active airports. Responsibilities include sensor fusion, 3D mapping, calibration, online validation, diagnostics, regression testing, deployment, and safety monitoring. The role provides technical leadership across perception, planning, and platform teams while advancing autonomous operations toward driverless capability.

Designs and implements behavior-planning algorithms for autonomous vehicles operating in structured airport environments. Responsibilities include developing C++ and Python software, modeling multi-agent interactions, implementing decision-making and path-planning methods, testing in simulation and real-world scenarios, optimizing performance, documenting systems, and collaborating with autonomy and engineering teams.

Own end-to-end delivery of AeroVect’s flagship Atlanta Airport autonomous vehicle program from planning through launch and steady-state operations. Drive schedules, milestones, risks, dependencies, governance, stakeholder alignment, and launch readiness across Engineering, Systems, Safety, and Operations. Serve as the primary liaison between engineering and operations leadership, while helping establish TPM processes, tooling, templates, and cross-program standards.

Senior individual contributor owning technical direction across Perception, Prediction, or Planning for on-vehicle autonomy. Design autonomy architecture, drive robustness, oversee model lifecycle and integration, and convert high-level decisions into production code running at scale on vehicles.

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.

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.