Robotics AI Engineer: World Models & Humanoid Intelligence

Foundation Robotics Lab; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Foundation Robotics Lab in San Francisco is seeking extraordinary engineers and scientists to join a mission-driven team shaping the future of humanoid robotics. You will work on world models and model-based RL, translating research into robust, real-time systems.

We value deep technical capability, strong Python and C++, and ability to ship both algorithms and reliable software. If you thrive in fast-paced environments, read papers, implement prototypes, and close the sim-to-real gap, this role

Qualifications

• Hands-on experience building world models, model-based RL, or predictive world simulators using PyTorch or JAX; shipped systems, not just studied them.
• Strong foundation in deep learning architectures relevant to world modeling: transformers, diffusion models, NeRF, VRSSM.

Responsibilities

• Architect internal world models for a humanoid platform.
• Close the sim-to-real gap in learned representations.
• Implement research prototypes into tested, integrated systems.
• Collaborate with teams to deploy robust intelligence architectures.

Skills

World models

Model-based RL

Python

C++

ROS2

MuJoCo

PyTorch/JAX

Deep learning

Tools

ROS2

MuJoCo

Isaac Sim

Job description

Foundation Robotics Lab in San Francisco is seeking extraordinary engineers and scientists to join a mission-driven team shaping the future of humanoid robotics. You will work on world models and model-based RL, translating research into robust, real-time systems.

We value deep technical capability, strong Python and C++, and ability to ship both algorithms and reliable software. If you thrive in fast-paced environments, read papers, implement prototypes, and close the sim-to-real gap, this role