Foundation is developing the future of general purpose robotics with the goal to address the labor shortage and reduce human risk in conflict zones and enhance efficiency in labor-intensive industries.
Requirements
- Strong understanding of embedded systems, sensor fusion, motion control, and real-time systems (e.g., RTOS, ROS 2).
- Experience integrating vision systems, IMUs, force/torque sensors, and robotic actuators
- Comfortable working with Linux-based systems and scripting (Python, Bash).
- Experience with EtherCAT, and other communication protocols.
- Experience with full-body humanoid systems or legged robotics.
- Knowledge of AI integration or human-robot interaction.
- 5+ years of hands-on experience in integration of complex electromechanical systems; humanoid or mobile robots are highly preferred.
Responsibilities
- Lead system integration of robotic subsystems including real time compute, AI inference compute, sensors, actuators, power management, and communication protocols into a unified humanoid platform.
- Collaborate with mechanical, electrical, AI/ML, and software teams to ensure smooth end-to-end system functionality.
- Diagnose and resolve complex integration issues at both the hardware and software levels during development and testing.
- Develop and execute integration test plans to validate system performance, safety, and compliance across development stages.
- Participate in or lead system design reviews and suggest improvements to ensure modularity, scalability, and robustness.
- Maintain detailed technical documentation, integration guides, and configuration control.
- Proficient in systems-level debugging using tools such as oscilloscopes, logic analyzers, and software debuggers.
Other
- You like working in person with a team in San Francisco.
- You deeply believe that this is the most important mission for humanity and needs to happen yesterday.
- You care about aesthetics and design inside out.
- You don't need someone to motivate you nor give you tasks; you get things done.
- Ability to operate in a fast-paced, high-ambiguity startup environment.
