Introducing Moonlake, AI for creating world simulations.

About Moonlake

Moonlake is building the frontier of interactive world models: systems that generate, simulate, and reason over 3D environments for robotics, embodied AI, and interactive applications.

We develop the infrastructure that enables intelligent systems to learn, evaluate, and interact within realistic virtual environments before operating in the physical world.

Our work sits at the intersection of:

• Robotics

• Embodied AI

• Interactive 3D Worlds

• World Models

• Simulation Infrastructure

• Physical AI

Moonlake is building the next generation of AI infrastructure for interactive digital worlds. Our mission is to enable anyone to create, simulate, and interact with rich environments using natural language and multimodal inputs, turning simple ideas into worlds with structure, physics, and intelligent behavior.

Our team has raised $28M in seed funding from NVIDIA Ventures, Threshold Ventures, AIX Ventures, and notable angels including Naval Ravikant and Jeff Dean to build the foundational layer for the future of AI—powering everything from robotics training and simulation to digital twins and interactive environments.

We are looking for exceptional engineers to help build the simulation systems that will power the next generation of robotics and embodied intelligence.

The Role

We're looking for a Member of Technical Staff – Simulation Engineer to help build realistic simulation environments for robotics and embodied AI systems.

This role focuses on creating high-fidelity virtual worlds that accurately model real-world environments, robot interactions, sensors, and physical behavior. You will work across simulation platforms, robotics systems, digital twins, and environment generation pipelines to ensure our virtual environments are useful for training, evaluating, and deploying intelligent systems.

You will collaborate closely with teams working on robotics, world models, simulation infrastructure, and AI systems.

This is a highly hands-on engineering role for builders who enjoy working across simulation, robotics, and 3D environments.

What You'll Do

Build Robotics Simulation Environments

• Design and develop simulation environments for robotics training and evaluation

• Create digital twins of real-world spaces, objects, and workflows

• Build scenes, assets, and interactive environments used for robot learning and testing

• Develop simulation workflows that enable rapid iteration and experimentation

Calibrate Simulations to the Real World

• Compare simulation outputs against real-world robot behavior and observations

• Tune physics, materials, sensors, and environmental parameters to improve simulation fidelity

• Develop methodologies for validating and measuring simulation accuracy

• Improve sim-to-real transfer through systematic calibration and evaluation

Support Robot Learning and World Models

• Partner with robotics and AI teams to create environments for training and evaluating models

• Build scenarios that support perception, navigation, manipulation, and interaction tasks

• Generate simulation data that improves model performance and robustness

• Support large-scale synthetic data generation workflows

Build Simulation Tooling and Infrastructure

• Create tools that make simulation creation scalable and repeatable

• Improve pipelines for environment generation and asset management

• Develop workflows for scene authoring, testing, and deployment

• Build systems that connect simulation environments with robotics and machine learning infrastructure

Areas of Focus

Simulation Systems

• Interactive simulation environments

• Physics-based simulation

• Digital twins

• Environment generation

• Synthetic data creation

Robotics

• Robot behavior modeling

• Sensor simulation

• Navigation environments

• Manipulation environments

• Sim-to-real transfer

Environment Development

• Scene construction

• Asset integration

• World building

• Procedural content generation

• Environment authoring workflows

Simulation Fidelity

• Physics calibration

• Sensor calibration

• Environmental realism

• Performance optimization

• Validation and benchmarking

What We're Looking For

• Experience building simulations for robotics, autonomy, gaming, or physical AI applications

• Familiarity with simulation platforms, game engines, or robotics environments

• Understanding of robotics systems, sensors, and physical environments

• Experience calibrating simulations against real-world observations and data

• Strong software engineering skills in Python, C++, or related languages

• Experience building tools, workflows, or infrastructure for simulation systems

• Ability to work across software, robotics, and 3D environments

• Strong intuition for balancing realism, performance, and scalability

• Excellent problem-solving and debugging skills

Nice to Have

• Experience with robotics simulators or digital twin platforms

• Experience with physics engines and simulation frameworks

• Familiarity with computer graphics, 3D asset pipelines, or technical art workflows

• Experience generating synthetic data for machine learning systems

• Experience supporting robotics training or evaluation pipelines

Why This Role Matters

Moonlake's vision depends on building simulations that accurately represent how the real world behaves.

The quality of our world models, robotic systems, and AI infrastructure is directly tied to the quality of the environments they learn from and operate within.

As a Simulation Engineer, you will help create the virtual worlds that power the next generation of robotics and embodied AI—bridging the gap between simulation and reality and enabling intelligent systems to learn, adapt, and operate at scale.

We are committed to being an on-site, in-person team currently based in San Francisco.