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.

Develop and maintain software ecosystem for robots, implement system services applications, and bridge software layers for effective feature development.

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

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.

The intern will design and implement control systems for robotic hands, focusing on dynamics, kinematics, and modern control techniques, contributing directly to milestone projects.

Develop, optimize, and maintain embedded systems for humanoid robots, focusing on seamless hardware and software integration and AI-driven control strategies.

Lead the development of embedded systems for autonomous vehicles, integrating sensors, software, and hardware while ensuring safety and performance standards.