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.