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.
Tech Stack 143 technologies
What Figure Is Building
◆Challenges
- Scaling data collection operations
- Meeting product reliability targets
- Tight production timelines
- Driving softgoods and plastic designs through npi
- Operational reliability of humanoid robots
- Lab safety compliance
- Timely parts delivery
- Closing sim-to-real gaps
- Failure analysis for complex material issues
- Troubleshooting failures
▲Active Projects
- Motion data collection for humanoid robot training
- Hand subsystem integration
- Safety system implementation
- Ci/cd infrastructure development
- Testing and validating new behaviors and skills
- Ict and fct test fixture development
- Humanoid robot hardware development
- Process validation builds
- Hand subsystem validation workflows
- Real-time diagnostic algorithms
Hiring Activity
110 roles · 45 in 30d
Department
Seniority
Notable leadership hires: Site Lead
Company intelligence
