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About the Role

Moonlake is seeking a Member of Technical Staff – Robotics to develop the connection between simulation, world models, and real-world robotic systems. This hands-on role involves evaluating foundation models and policies in simulation, training world models, and deploying physical robots, requiring a blend of robotics engineering, machine learning, simulation, and hardware deployment expertise.

Responsibilities

Evaluate robot foundation models and policies in simulated environments.
Design evaluation frameworks for robotic reasoning, planning, manipulation, and navigation.
Measure generalization, robustness, and task performance across diverse scenarios.
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 including vision, depth, state, and actions.
Improve environment understanding, forecasting, and decision-making capabilities.
Work closely with simulation and AI teams to advance robotic world modeling systems.
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.
Develop workflows connecting simulation, training infrastructure, and deployed robotic systems.
Set up, integrate, and maintain robotic hardware platforms.
Bring learned policies and world models onto real robotic systems.
Debug hardware, software, sensing, and control issues.
Develop deployment pipelines for testing, validation, and continuous improvement.
Work directly with robotic manipulators, mobile robots, sensors, and compute systems.

Requirements

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.

Skills

Robotics
Embodied AI
Machine Learning
Robotic simulation platforms
Isaac Sim
MuJoCo
Habitat
Gazebo
Robot learning
Foundation models
World models
Python
Robotics tooling
Software deployment
Hardware debugging
Software debugging
Machine learning debugging

Location

San Francisco

Work Type

On-site
In-person

About the Company

Moonlake is building the frontier of AI-powered world simulation.
We create systems that generate, simulate, and reason over rich 3D environments for robotics, embodied AI, and interactive applications.
Our platform enables the creation of digital worlds, synthetic environments, and scalable simulation infrastructure used to train the next generation of intelligent systems.
Our work sits at the intersection of Robotics, Physical AI, World Models, Simulation Infrastructure, Synthetic Data Generation, and Embodied Intelligence.
Moonlake has raised $28M in seed funding from NVIDIA Ventures, Threshold Ventures, AIX Ventures, and notable angels including Naval Ravikant and Jeff Dean.
Our mission is to build the foundational infrastructure that enables robots to learn, reason, and operate effectively in the physical world.