Member of Technical Staff - Simulation Engineer
About The Position
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.
Requirements
- 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
- Strong software engineering skills in Python, C++, or similar languages
- Experience building production-quality simulation software and infrastructure
- Experience writing reliable, maintainable, and well-tested code
- Strong systems thinking and problem-solving skills
- Ability to work closely with robotics, machine learning, and research teams
Nice To Haves
- Experience with NVIDIA Isaac Sim or Omniverse
- Experience generating synthetic data for robotics or machine learning
- Experience with domain randomization or procedural environment generation
- Familiarity with ROS2 and modern robotics software stacks
- Experience optimizing simulation performance or GPU-accelerated simulation
- MS or PhD in Robotics, Computer Science, Mechanical Engineering, or a related field
Responsibilities
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
