Figure is building commercially viable autonomous humanoid robots from the ground up in San Jose. The tech stack reveals a hardware-first operation: C++, Python, and embedded Linux dominate, paired with PyTorch for learning and cloud compute (AWS, Azure, GCP) for training. The hiring mix is heavily weighted toward engineering and manufacturing—reflecting active development of robot mechanics, PCBs, and test infrastructure—while a smaller data team suggests robotics models are trained internally rather than outsourced. Current pain points cluster around production scaling, reliability validation, and global data collection, indicating the company is moving from prototype toward manufacturing and field deployment.
Tech Stack 146 technologies
Core StackC++ Python Linux Docker Jenkins PyTorch AWS Kubernetes Ansible Terraform Puppet Linux Kernel Ethernet EtherCAT CAN USB Bazel CI/CD Yocto TeamCity Buildroot Embedded Linux Debian UART Azure GCP SLURM LSF Chef Google Workspace+111 more
AdoptingSD-WAN
What Figure Is Building
◆Challenges
- Scaling robot production
- Meeting reliability targets
- Expanding data collection operations globally
- Improving visibility
- Test infrastructure reliability
- Ensuring durability and reliability of humanoid robots
- Operational reliability of humanoid robots
- Inventory inaccuracies
- Prevent stockouts
- Reducing supplier quality issues
▲Active Projects
- Ict and fct test fixture development
- Hand subsystem integration
- Deploying robots for real commercial use cases
- Ci/cd infrastructure development
- Test and validate new behaviors and skills
- Humanoid robot hardware development
- Pcbas for humanoid
- Process validation builds
- Design and instrument test setups for thermal measurement
- Real-time diagnostic algorithms
Hiring Activity
Steady140 roles · 50 in 30d
Department
Seniority
Company intelligence
