AI Training Infrastructure Engineer – Humanoid Whole Body Control

What this role involves

This role involves owning and scaling the training and deployment infrastructure for reinforcement learning-based whole-body control of humanoid robots. Responsibilities include designing fast, reliable systems, evaluating physics engines, and building tooling for policy deployment. The position requires strong software engineering skills, experience with PyTorch, and familiarity with physics simulation tools.

Skills this posting asks for

• python
• pytorch
• physics simulation
• nvidia physx
• mujoco
• warp
• pybullet
• reinforcement learning
• imitation learning
• policy distillation
• dynamics
• controls
• robotics
• contact interactions
• photorealistic simulation
• training infrastructure
• data pipelines
• orchestration
• simulation environments
• hyperparameter optimization
• model deployment
• humanoid robot control
• distributed systems
• job schedulers

Requirements

• Remote policy: onsite

From the employer’s posting

Figure is an AI Robotics company autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. We are based in North San Jose, CA and requir…