--- title: 'Member of Technical Staff - Simulation Engineer at Moonlake' canonical: 'https://feeny.ai/job/member-of-technical-staff-simulation-engineer-moonlake-san-francisco-7qvzm3326680' type: 'job' last_seen: '2026-09-06' --- # Member of Technical Staff - Simulation Engineer at Moonlake - **Company:** Moonlake - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2025-09-27 - **Last confirmed live:** 2026-09-06 - **Apply:** https://jobs.ashbyhq.com/moonlake/78e20936-77eb-4f2e-ae17-053b5808341c ## Job description 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 - 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 HAVE - 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 ## WHY THIS ROLE MATTERS Moonlake's vision depends on simulation systems that allow intelligent agents to learn, evaluate, and improve before operating in the physical world. The quality of our world models, robotics systems, and AI infrastructure depends on simulation environments that are physically accurate, computationally efficient, and scalable. As a Simulation Engineer, you'll build the core simulation infrastructure that powers the next generation of robotics and embodied AI. We are committed to being an on-site, in-person team currently based in San Francisco. ## About Moonlake ## Company Overview - **One-liner**: Moonlake AI builds multimodal world models and simulation environments to accelerate the development of physical AI and embodied intelligence. - **Entity Type**: Private (Seed stage) – raised $28M in Seed funding - **Headquarters**: San Francisco, California, United States - **Founded**: 2025 - **Founders**: Sharon Lee (Co-Founder); key team includes Yitong Deng (Founding Research Scientist) and Siddharth Ahuja (Head of Product) ## Core Business - **Primary industry**: AI research and world modeling, with a focus on simulation for robotics, autonomous driving, and embodied AI. - **Target customers**: B2B – enterprises in robotics, autonomous mobility, and AI research labs (e.g., OpenAI, Waymo, Stanford). - **Mission**: “Build the frontier of sim-ready worlds and embodied AI” – enabling efficient reinforcement learning and evaluation through generative simulation environments. ## Products & Services - **Moonlake World Model**: A real-time neural rendering model grounded in 3D information that creates high-fidelity simulation environments from text, images, point clouds, or Gaussian splats. Includes articulation, physics, and deformable objects. - **3D Agent**: An AI agent that operates inside Blender, automating the creation of articulated assets, physics-validated scenes, and complex environments while preserving fine-grained editability. - **Reconstruction & Agent Capabilities**: Multimodal world models that maintain state, predict outcomes, and enable planning over limited action spaces. ## Market Standing - **Valuation / Market Cap**: Not disclosed - **Key Metric**: Total funding of $28M (Seed round, November 2025) - **Notable Investors**: Threshold Ventures (formerly DFJ), AIX Ventures, NVentures (NVIDIA’s venture arm). Angel investors include Jeff Dean, Ian Goodfellow, Naval Ravikant, Steve Chen, Guillermo Rauch, and Jared Leto. - **Growth Signals**: Named to CB Insights AI 100 list (May 2026); trusted by companies with a combined market cap of $8T+ (including OpenAI, Stanford, Waymo); 4,372 LinkedIn followers (+8.2% monthly growth); small team of 15 employees with strong talent from Berkeley AI Research, Stanford, Google, and others. ## Competitive Advantages - **Real-time 3D world model** with minimal sim-to-real gap, grounded in 3D geometry rather than purely 2D video. - **Integration with Blender** allows artists and engineers to edit and refine generated assets interactively. - **Multimodal state maintenance** enables world models that can simulate complex physics and deformable objects, critical for RL training. - **Strong investor backing** from NVIDIA, top AI researchers, and unicorn founders provides strategic leverage. ## Strategic Focus - Building a **product-driven data flywheel** – starting with tools that make simulation creation accessible to everyone, then using generated data to train better world models. - Targeting **embodied general intelligence** by enabling massive-scale RL training and evaluation in generative worlds. - Expanding the **“3D Agent”** to act as a technical artist, continuously refining simulations over thousands of steps. ## Why Work Here - **Culture**: Small, high-impact research team at the frontier of world modeling and embodied AI. Team members come from top labs (Berkeley, Stanford, Google, DeepMind). - **Location**: Headquarters in San Francisco (hybrid likely, but not explicitly stated). - **Perks & Environment**: Not detailed, but the company emphasizes “building meaning” and a product-driven approach. Opportunities for deep technical work in neural rendering, physics simulation, and RL. - **Recent Recognition**: CB Insights AI 100 list adds external validation and visibility. ## Sources 1. [moonlakeai.com](https://moonlakeai.com/) 2. [linkedin.com/company/moonlake-ai](https://www.linkedin.com/company/moonlake-ai) 3. [moonlakeai.com/blog/introducing-moonlake-ai](https://moonlakeai.com/blog/introducing-moonlake-ai) 4. [moonlakeai.com/about](https://moonlakeai.com/about) 5. [jobs.ashbyhq.com/Moonlake](https://jobs.ashbyhq.com/Moonlake) ## Other roles at Moonlake - [Head of Design](https://feeny.ai/job/head-of-design-moonlake-san-francisco-zcejez0vwys1) — San Francisco, CA - [Member of Technical Staff — Agent Post-Training](https://feeny.ai/job/member-of-technical-staff-agent-post-training-moonlake-san-francisco-gk4mq3zztbe9) — San Francisco, CA - [Head of People Operations](https://feeny.ai/job/head-of-people-operations-moonlake-san-francisco-yj897grtctr3) — San Francisco, CA - [Member of Technical Staff - Robotics & Simulation](https://feeny.ai/job/member-of-technical-staff-robotics-simulation-moonlake-san-francisco-cwvwzypd4v8s) — San Francisco, CA - [Member of Technical Staff - Product Engineer](https://feeny.ai/job/member-of-technical-staff-product-engineer-moonlake-san-francisco-rk31eg6t9c6k) — San Francisco, CA