Figure is building autonomous humanoid robots with a hardware-software stack spanning MATLAB, C++, PyTorch, and cloud infrastructure (AWS/Azure/GCP). The engineering-heavy org (68 of 110 open roles) is actively scaling motion data collection, hand subsystem integration, and safety systems — all core to closing the sim-to-real gap. Pain points cluster around production reliability, parts supply, and NPI processes, indicating they've moved past research prototypes into manufacturing and validation.
Notable leadership hires: Site Lead
Figure develops commercially viable autonomous humanoid robots, headquartered in San Jose, CA. The company operates across hardware design, embedded systems, AI/ML training pipelines, and manufacturing operations. Their tech stack spans robotics-specific tools (CATIA, EtherCAT, Instron) alongside general-purpose cloud and CI/CD infrastructure, reflecting dual demand for mechanical design iteration and software deployment velocity. Current scaling challenges center on production timelines, supply chain, and operational reliability of deployed robots.
Figure uses MATLAB, C++, Python, PyTorch, and EtherCAT for core robotics. Hardware design relies on CATIA and Altium; infrastructure includes AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD tooling.
Figure's active projects include motion data collection for humanoid robot training, hand subsystem integration and validation, safety system implementation, sim-to-real gap closure, CI/CD infrastructure, and hardware development with process validation builds.
Figure'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.