Embedding Vc

Member of Technical Staff - Head of Robotics

San Francisco Bay Area. Posted 3 months ago

The role

This person will build the bridge between simulation, world models, and real-world robotic systems. They will evaluate robot foundation models, train world models, and deploy physical robots.

What you will do

  • Benchmark and evaluate robot foundation models in simulated environments
  • Design evaluation frameworks for robotic reasoning, planning, manipulation, and navigation
  • Build infrastructure for large-scale simulation-based testing and validation
  • Develop and train world models that enable robots to understand and predict environment dynamics
  • Build systems that learn from multimodal robot data
  • Collect and curate real-world robotics datasets
  • Train and fine-tune models using both simulated and physical robot data
  • Improve sim-to-real transfer for robotic policies and world models
  • Set up, integrate, and maintain robotic hardware platforms
  • Bring learned policies and world models onto real robotic systems

Required qualifications

  • Strong background in robotics, embodied AI, machine learning, or related fields
  • Experience working with physical robotic systems
  • Experience with robotic simulation platforms such as Isaac Sim, MuJoCo, Habitat, Gazebo, or similar
  • Familiarity with robot learning, foundation models, or world models
  • Strong software engineering skills in Python and robotics tooling
  • Experience deploying software onto real robotic hardware
  • Ability to debug across hardware, software, and machine learning systems
  • Comfort working in a fast-moving research and engineering environment

About the company

Moonlake is building the frontier of AI-powered world simulation. They create systems that generate, simulate, and reason over rich 3D environments for robotics, embodied AI, and interactive applications.