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

Responsible for designing and developing vehicle body structures for an autonomous ATV, ensuring performance across extreme conditions using CAD and FEA tools, and collaborating with team members on integrated vehicle architectures.

Responsible for developing suspension systems for all-terrain electric ATVs, including design, testing, and validation of components. Ensure manufacturability and performance in rugged environments.

The Chief Designer will lead the design vision for human-centric robotics, ensuring intuitive experiences and emotional connections through innovative design principles and collaboration.

Own end-to-end program execution, lead cross-functional planning, measure execution, and build scalable processes for complex multidisciplinary products.

As a Robotics Build Engineer, you'll assemble and test humanoid robotic subsystems, troubleshoot issues, and support rapid prototyping while collaborating with supply chain teams.

The Technical Product Manager will drive end-to-end execution of programs, lead cross-functional planning, and establish processes for rapid design and development in robotics.

Own the controls and learning stack for a high-DOF tendon-driven robotic hand: low-level motor control, actuator coordination, sensor integration, end-to-end RL for grasping (sim-to-real), and tooling/testing for deployment on physical hardware.

Lead software bring-up and integration for robot hardware, develop and maintain automated and HIL test frameworks, validate firmware/middleware/control modules, execute functional/performance tests across robotic subsystems, and collaborate with mechanical, electrical, and software teams to debug and document procedures for continuous testing and deployment.

Develop and run comprehensive test plans and automated test frameworks for humanoid robots and subsystems. Perform functional, regression, stress, HIL and field testing; troubleshoot and document defects; collaborate with mechanical, electrical, software, and AI teams; ensure safety standard compliance; and maintain test infrastructure, benches, simulations, and records to improve product reliability.

Lead technical evaluations for custom inference chips in robotics, analyze bottlenecks, define architecture, and guide RTL prototyping while delivering reports with strategic recommendations.