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 build the simulation systems and infrastructure that power robotics and embodied AI.

This role focuses on developing high-fidelity simulation environments that accurately model robot behavior, sensors, physics, and real-world interactions. You'll build the simulation infrastructure used for robot learning, evaluation, synthetic data generation, and sim-to-real transfer.

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

This is a highly hands-on software engineering role for builders who enjoy solving challenging problems across robotics, simulation, physics, and distributed systems.

What You'll Do

Build Robotics Simulation Systems

Design and develop simulation environments for robotics training and evaluation

Build simulation systems supporting perception, navigation, manipulation, and embodied AI tasks

Develop scalable simulation workflows that enable rapid experimentation and robot learning

Build reusable tooling that makes simulation development efficient and reliable

Improve Sim-to-Real Transfer

Compare simulation outputs against real-world robot behavior

Model robot dynamics, sensors, contacts, and environmental interactions

Tune simulation fidelity through calibration and validation

Improve policy transfer using calibration, benchmarking, and domain randomization techniques

Support Robot Learning

Partner with robotics and AI teams to build environments for training and evaluating intelligent systems

Develop infrastructure supporting large-scale synthetic data generation

Create simulation benchmarks for evaluating robotics models

Optimize simulation environments for machine learning workflows

Build Simulation Infrastructure

Develop production-quality software supporting simulation systems

Build tools that improve simulation reliability, testing, and scalability

Improve pipelines for simulation creation, execution, and evaluation

Optimize simulation performance while maintaining physical realism

Areas of Focus

Robotics Simulation

Physics simulation

Robot dynamics

Sensor simulation

Sim-to-real transfer

Robot learning environments

Simulation Infrastructure

Synthetic data generation

Simulation tooling

Environment automation

Performance optimization

Benchmarking and validation

Robotics

Perception

Manipulation

Navigation

Embodied AI

Physical reasoning

What We're Looking For

Experience building robotics simulation systems for robotics, autonomy, embodied AI, or physical AI

Experience with robotics simulators such as Isaac Sim, MuJoCo, PyBullet, Gazebo, Drake, or equivalent

Understanding of robot dynamics, physics simulation, sensor modeling, and sim-to-real transfer