General-purpose humanoid robots for labor-intensive and high-risk work
Foundation is a San Francisco robotics company building general-purpose humanoid robots, with a stack spanning FPGA design (Verilog, VHDL), embedded C on RTOS, and simulation in MuJoCo and PyBullet. Hiring is overwhelmingly engineering and senior-weighted, while adoption of CUDA and BMS alongside work on custom inference chip feasibility points to a push on onboard compute and power as it ramps toward factory production.
Notable leadership hires: Hardware Lead, Head of Comms
Foundation develops general-purpose robots intended to ease labor shortages in labor-intensive industries and to reduce human exposure in conflict zones. Founded in 2024 and headquartered in San Francisco, the privately held company employs 51–200 people. Its work covers robot hardware, including humanoid hands, rotary actuators and full body design, plus a software platform built on ROS 2, Python and PyTorch. The company also maintains XR tooling using Unity, Unreal Engine, Vision Pro and Varjo, and hires within the United States.
Foundation uses Embedded C, C++, RTOS, Verilog, VHDL and FPGAs for hardware, ROS 2, Python, PyTorch and JAX for software, MuJoCo and PyBullet for simulation, and Unity, Unreal Engine and Vision Pro for XR.
Projects include a humanoid robotic hand, next-generation rotary actuators, a software platform for general-purpose robots, a factory launch, and motion planning for off-road ATV navigation.
Yes. Engineering dominates Foundation's hiring, skewed toward senior, staff and lead roles, with smaller openings in manufacturing; open leadership roles include Hardware Lead and Head of Comms, all in the United States.
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Foundation's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.