Ai Training Infrastructure Engineer – Humanoid Whole Body Control

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San Jose, CA, United States
Base: $200,000 - $300,000 annually; bonus/equity: ...
On-site
Python and pytorch production experience
Physics simulation tools like physx or mujoco
Reinforcement learning and policy distillation
The company aims to ship humanoid robots with human-level intelligence capable of performing tasks in home and commercial markets

Job Summary

  • The company aims to ship humanoid robots with human-level intelligence capable of performing tasks in home and commercial markets.
  • This role is critical for owning the training and deployment backbone behind RL-based whole-body control systems to accelerate iteration cycles.
  • Engineers must design fast, reliable, and highly configurable systems that ensure high cluster utilization while minimizing downtime.

Matching Summary

The company aims to ship humanoid robots with human-level intelligence capable of performing tasks in home and commercial markets.

Salary

Base: $200,000 - $300,000 annually; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Python and PyTorch production experience
  • Physics simulation tools like PhysX or MuJoCo
  • Reinforcement learning and policy distillation
  • Dynamics, controls, and robotics systems knowledge
  • Scaling training infrastructure for ML workloads

Nice-to-have

  • Humanoid or legged robot control experience
  • Background in distributed systems and cluster management
  • Deploying ML models to real-world hardware
  • Modeling contact interactions in photorealistic environments
  • Strong ownership mindset for team reliance

Key Requirements

  • Production experience in Python and PyTorch
  • Working knowledge of dynamics and controls
  • Experience with reinforcement learning or imitation learning

Work Rights

Not specified

Tailored Resume

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