Introducing Moonlake, AI for creating world simulations.
Moonlake is building the frontier of interactive world models: systems that generate, simulate, and reason over 3D environments for embodied AI, robotics, and gaming. We develop the simulation infrastructure to build worlds—including assets, scenes, and digital twins—at scale.
Our work sits at the intersection of:
Embodied AI
Robotics Simulation
Interactive 3D Worlds
World Models
Real-Time Generation
AI Infrastructure
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, logic, and agents that can perceive and act.
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 creative tools and games to robotics training, simulations, and digital twins. Our goal is to make building and experimenting with these environments as accessible and scalable as publishing video on the internet.
We are looking for exceptional research engineers and applied researchers to help push the frontier of interactive AI.
We're looking for a Product Engineer who combines strong full-stack engineering with sharp product judgment and a bias for shipping.
We want someone who can:
Own a product surface end-to-end—not a ticket queue
Turn a rough idea into a shipped, measured feature
Build full-stack, front to back (React / Next.js / TypeScript + Python)
Make product decisions without waiting for a PM
Ship fast and iterate on real usage
Moonlake is building products that sit at the intersection of AI systems and human creativity, simulation and interaction, and research infrastructure and product experience.
The interface layer is critical. As AI systems become increasingly capable, the challenge is no longer just building better models—it's making those capabilities intuitive, responsive, and effortless to use.
You'll help define how researchers, developers, and creators interact with the next generation of world-building and embodied AI tools.
Scope fuzzy product goals into testable, instrumented features, and measure their impact.
Break down ambiguous work, sequence it, and drive it to production.
Collaborate closely with research, engineering, and founders building world models and embodied AI systems.
Use AI-native engineering tools (Claude Code, Codex, or similar) to ship faster.
A track record of shipping real product in ambiguous, fast-moving environments—you turn ambiguity into outcomes.
~3+ years building and shipping production web products (we index on track record over years).
Strong full-stack engineering experience with React, Next.js, and TypeScript, combined with solid backend engineering judgment. You design sound database schemas and system architecture and understand the tradeoffs.
Strong technical communication—you turn ambiguity into clear plans, explain tradeoffs to non-engineers, communicate with high signal, and proactively drive alignment.
Sound product and UX judgment—you know what's worth building.
React, Next.js, TypeScript, Tailwind, shadcn, and modern web application architecture.
Building product features and UI/UX for agentic systems—where AI takes actions, reasons over state, and drives multi-step, long-horizon workflows with streaming and generative interfaces.
Building scalable backend services and APIs.
AI-native product workflows.
Experience in any of the following is a plus, but not required:
Extensive experience building and shipping agent- or LLM-powered product features.
Founding engineer or 0→1 startup experience.
Physics AI, simulation, or robotics stacks such as Isaac Sim or MuJoCo.
3D asset workflows (Blender) or other world-building and asset creation tools.
We are committed to being an on-site, in-person team currently based in San Francisco.
","descriptionPlain":"Introducing Moonlake, AI for creating world simulations.\n\n\nABOUT MOONLAKE\n\nMoonlake is building the frontier of interactive world models: systems that generate, simulate, and reason over 3D environments for embodied AI, robotics, and gaming. We develop the simulation infrastructure to build worlds—including assets, scenes, and digital twins—at scale.\n\nOur work sits at the intersection of:\n\n - Embodied AI\n\n - Robotics Simulation\n\n - Interactive 3D Worlds\n\n - World Models\n\n - Real-Time Generation\n\n - AI Infrastructure\n\nMoonlake 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, logic, and agents that can perceive and act.\n\nOur 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 creative tools and games to robotics training, simulations, and digital twins. Our goal is to make building and experimenting with these environments as accessible and scalable as publishing video on the internet.\n\nWe are looking for exceptional research engineers and applied researchers to help push the frontier of interactive AI.\n\n\n\nTHE ROLE\n\nWe're looking for a Product Engineer who combines strong full-stack engineering with sharp product judgment and a bias for shipping.\n\nWe want someone who can:\n\n - Own a product surface end-to-end—not a ticket queue\n\n - Turn a rough idea into a shipped, measured feature\n\n - Build full-stack, front to back (React / Next.js / TypeScript + Python)\n\n - Make product decisions without waiting for a PM\n\n - Ship fast and iterate on real usage\n\n\nWHY THIS ROLE MATTERS\n\nMoonlake is building products that sit at the intersection of AI systems and human creativity, simulation and interaction, and research infrastructure and product experience.\n\nThe interface layer is critical. As AI systems become increasingly capable, the challenge is no longer just building better models—it's making those capabilities intuitive, responsive, and effortless to use.\n\nYou'll help define how researchers, developers, and creators interact with the next generation of world-building and embodied AI tools.\n\n\n\nWHAT YOU'LL DO\n\n - Scope fuzzy product goals into testable, instrumented features, and measure their impact.\n\n - Break down ambiguous work, sequence it, and drive it to production.\n\n - Collaborate closely with research, engineering, and founders building world models and embodied AI systems.\n\n - Use AI-native engineering tools (Claude Code, Codex, or similar) to ship faster.\n \n\n\nWHAT WE'RE LOOKING FOR\n\n - A track record of shipping real product in ambiguous, fast-moving environments—you turn ambiguity into outcomes.\n\n - ~3+ years building and shipping production web products (we index on track record over years).\n\n - Strong full-stack engineering experience with React, Next.js, and TypeScript, combined with solid backend engineering judgment. You design sound database schemas and system architecture and understand the tradeoffs.\n\n - Strong technical communication—you turn ambiguity into clear plans, explain tradeoffs to non-engineers, communicate with high signal, and proactively drive alignment.\n\n - Sound product and UX judgment—you know what's worth building.\n\n\nTECHNICAL EXPERIENCE WE VALUE\n\n - React, Next.js, TypeScript, Tailwind, shadcn, and modern web application architecture.\n\n - Building product features and UI/UX for agentic systems—where AI takes actions, reasons over state, and drives multi-step, long-horizon workflows with streaming and generative interfaces.\n\n - Building scalable backend services and APIs.\n\n - AI-native product workflows.\n \n\n\nBONUS POINTS\n\nExperience in any of the following is a plus, but not required:\n\n - Extensive experience building and shipping agent- or LLM-powered product features.\n\n - Founding engineer or 0→1 startup experience.\n\n - Physics AI, simulation, or robotics stacks such as Isaac Sim or MuJoCo.\n\n - 3D asset workflows (Blender) or other world-building and asset creation tools.\n\n\n\nWe are committed to being an on-site, in-person team currently based in San Francisco.\n\n"},{"id":"78e20936-77eb-4f2e-ae17-053b5808341c","title":"Member of Technical Staff - Simulation Engineer","department":"Engineering & Research","team":"Engineering & Research","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2025-09-27T20:36:26.440+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{}},"jobUrl":"https://jobs.ashbyhq.com/moonlake/78e20936-77eb-4f2e-ae17-053b5808341c","applyUrl":"https://jobs.ashbyhq.com/moonlake/78e20936-77eb-4f2e-ae17-053b5808341c/application","descriptionHtml":"Introducing Moonlake, AI for creating world simulations.
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.
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.
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
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
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
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
Physics simulation
Robot dynamics
Sensor simulation
Sim-to-real transfer
Robot learning environments
Synthetic data generation
Simulation tooling
Environment automation
Performance optimization
Benchmarking and validation
Perception
Manipulation
Navigation
Embodied AI
Physical reasoning
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
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
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.
","descriptionPlain":"Introducing Moonlake, AI for creating world simulations.\n\n\nABOUT MOONLAKE\n\nMoonlake is building the frontier of interactive world models: systems that generate, simulate, and reason over 3D environments for robotics, embodied AI, and interactive applications.\n\nWe develop the infrastructure that enables intelligent systems to learn, evaluate, and interact within realistic virtual environments before operating in the physical world.\n\nOur work sits at the intersection of:\n\n - Robotics\n\n - Embodied AI\n\n - Interactive 3D Worlds\n\n - World Models\n\n - Simulation Infrastructure\n\n - Physical AI\n\nMoonlake 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.\n\nOur 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.\n\nWe are looking for exceptional engineers to help build the simulation systems that will power the next generation of robotics and embodied intelligence.\n\n\n\n\nTHE ROLE\n\nWe're looking for a Member of Technical Staff – Simulation Engineer to build the simulation systems and infrastructure that power robotics and embodied AI.\n\nThis 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.\n\nYou'll collaborate closely with teams working on robotics, world models, AI systems, and simulation infrastructure.\n\nThis is a highly hands-on software engineering role for builders who enjoy solving challenging problems across robotics, simulation, physics, and distributed systems.\n\n\n\n\nWHAT YOU'LL DO\n\n\nBUILD ROBOTICS SIMULATION SYSTEMS\n\n - Design and develop simulation environments for robotics training and evaluation\n\n - Build simulation systems supporting perception, navigation, manipulation, and embodied AI tasks\n\n - Develop scalable simulation workflows that enable rapid experimentation and robot learning\n\n - Build reusable tooling that makes simulation development efficient and reliable\n\n\nIMPROVE SIM-TO-REAL TRANSFER\n\n - Compare simulation outputs against real-world robot behavior\n\n - Model robot dynamics, sensors, contacts, and environmental interactions\n\n - Tune simulation fidelity through calibration and validation\n\n - Improve policy transfer using calibration, benchmarking, and domain randomization techniques\n\n\nSUPPORT ROBOT LEARNING\n\n - Partner with robotics and AI teams to build environments for training and evaluating intelligent systems\n\n - Develop infrastructure supporting large-scale synthetic data generation\n\n - Create simulation benchmarks for evaluating robotics models\n\n - Optimize simulation environments for machine learning workflows\n\n\nBUILD SIMULATION INFRASTRUCTURE\n\n - Develop production-quality software supporting simulation systems\n\n - Build tools that improve simulation reliability, testing, and scalability\n\n - Improve pipelines for simulation creation, execution, and evaluation\n\n - Optimize simulation performance while maintaining physical realism\n\n\nAREAS OF FOCUS\n\n\nROBOTICS SIMULATION\n\n - Physics simulation\n\n - Robot dynamics\n\n - Sensor simulation\n\n - Sim-to-real transfer\n\n - Robot learning environments\n\n\nSIMULATION INFRASTRUCTURE\n\n - Synthetic data generation\n\n - Simulation tooling\n\n - Environment automation\n\n - Performance optimization\n\n - Benchmarking and validation\n\n\nROBOTICS\n\n - Perception\n\n - Manipulation\n\n - Navigation\n\n - Embodied AI\n\n - Physical reasoning\n\n\nWHAT WE'RE LOOKING FOR\n\n - Experience building robotics simulation systems for robotics, autonomy, embodied AI, or physical AI\n\n - Experience with robotics simulators such as Isaac Sim, MuJoCo, PyBullet, Gazebo, Drake, or equivalent\n\n - Understanding of robot dynamics, physics simulation, sensor modeling, and sim-to-real transfer\n\n - Strong software engineering skills in Python, C++, or similar languages\n\n - Experience building production-quality simulation software and infrastructure\n\n - Experience writing reliable, maintainable, and well-tested code\n\n - Strong systems thinking and problem-solving skills\n\n - Ability to work closely with robotics, machine learning, and research teams\n\n\nNICE TO HAVE\n\n - Experience with NVIDIA Isaac Sim or Omniverse\n\n - Experience generating synthetic data for robotics or machine learning\n\n - Experience with domain randomization or procedural environment generation\n\n - Familiarity with ROS2 and modern robotics software stacks\n\n - Experience optimizing simulation performance or GPU-accelerated simulation\n\n - MS or PhD in Robotics, Computer Science, Mechanical Engineering, or a related field\n\n\nWHY THIS ROLE MATTERS\n\nMoonlake's vision depends on simulation systems that allow intelligent agents to learn, evaluate, and improve before operating in the physical world.\n\nThe quality of our world models, robotics systems, and AI infrastructure depends on simulation environments that are physically accurate, computationally efficient, and scalable.\n\nAs a Simulation Engineer, you'll build the core simulation infrastructure that powers the next generation of robotics and embodied AI.\n\n\n\nWe are committed to being an on-site, in-person team currently based in San Francisco.\n\n"},{"id":"1a2382e1-5a47-4443-9417-62c87075f6e9","title":"Member of Technical Staff - Head of Robotics ","department":"Engineering & Research","team":"Engineering & Research","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2025-12-22T08:41:05.527+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{}},"jobUrl":"https://jobs.ashbyhq.com/moonlake/1a2382e1-5a47-4443-9417-62c87075f6e9","applyUrl":"https://jobs.ashbyhq.com/moonlake/1a2382e1-5a47-4443-9417-62c87075f6e9/application","descriptionHtml":"Introducing Moonlake, AI for creating world simulations.
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
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.
We are looking for a Member of Technical Staff – Robotics to help build the bridge between simulation, world models, and real-world robotic systems.
This role spans the full robotics stack—from evaluating foundation models and policies in simulation, to training world models, to deploying and operating physical robots. You will work closely with researchers and engineers developing next-generation simulation environments and AI systems, while ensuring those capabilities transfer successfully into real-world robotic platforms.
This is a highly hands-on role combining robotics engineering, machine learning, simulation, and hardware deployment.
Benchmark and evaluate robot foundation models 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
Policy evaluation
Model benchmarking
Simulation-based testing
Generalization analysis
Performance measurement
Environment modeling
Predictive systems
Representation learning
Multimodal learning
Model-based reasoning
Robotics simulators
Digital twins
Synthetic environments
Sim-to-real transfer
Evaluation infrastructure
Robot setup and integration
Sensors and perception systems
Robot control
Hardware debugging
Deployment workflows
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
Moonlake's vision extends beyond simulation. We believe the future of robotics will be powered by world models that can learn in simulation and transfer seamlessly to the physical world.
This role sits at the center of that mission. You will help evaluate robotic intelligence in simulation, train the models that power robotic understanding, and deploy those systems onto real robots operating in the physical world.
Your work will directly shape how future robotic systems learn, reason, and act.
We are committed to being an on-site, in-person team currently based in San Francisco.
","descriptionPlain":"Introducing Moonlake, AI for creating world simulations.\n\n\nABOUT MOONLAKE\n\nMoonlake is building the frontier of AI-powered world simulation.\n\nWe 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.\n\nOur work sits at the intersection of:\n\n - Robotics\n\n - Physical AI\n\n - World Models\n\n - Simulation Infrastructure\n\n - Synthetic Data Generation\n\n - Embodied Intelligence\n\nMoonlake has raised $28M in seed funding from NVIDIA Ventures, Threshold Ventures, AIX Ventures, and notable angels including Naval Ravikant and Jeff Dean.\n\nOur mission is to build the foundational infrastructure that enables robots to learn, reason, and operate effectively in the physical world.\n\n\n\n\nTHE ROLE\n\nWe are looking for a Member of Technical Staff – Robotics to help build the bridge between simulation, world models, and real-world robotic systems.\n\nThis role spans the full robotics stack—from evaluating foundation models and policies in simulation, to training world models, to deploying and operating physical robots. You will work closely with researchers and engineers developing next-generation simulation environments and AI systems, while ensuring those capabilities transfer successfully into real-world robotic platforms.\n\nThis is a highly hands-on role combining robotics engineering, machine learning, simulation, and hardware deployment.\n\n\n\n\nWHAT YOU'LL DO\n\n\nEVALUATE ROBOT FOUNDATION MODELS & POLICIES\n\n - Benchmark and evaluate robot foundation models in simulated environments\n\n - Design evaluation frameworks for robotic reasoning, planning, manipulation, and navigation\n\n - Measure generalization, robustness, and task performance across diverse scenarios\n\n - Build infrastructure for large-scale simulation-based testing and validation\n\n\nTRAIN WORLD MODELS FOR ROBOTICS\n\n - Develop and train world models that enable robots to understand and predict environment dynamics\n\n - Build systems that learn from multimodal robot data including vision, depth, state, and actions\n\n - Improve environment understanding, forecasting, and decision-making capabilities\n\n - Work closely with simulation and AI teams to advance robotic world modeling systems\n\n\nBUILD REAL-WORLD ROBOT LEARNING PIPELINES\n\n - Collect and curate real-world robotics datasets\n\n - Train and fine-tune models using both simulated and physical robot data\n\n - Improve sim-to-real transfer for robotic policies and world models\n\n - Develop workflows connecting simulation, training infrastructure, and deployed robotic systems\n\n\nDEPLOY AND OPERATE PHYSICAL ROBOTS\n\n - Set up, integrate, and maintain robotic hardware platforms\n\n - Bring learned policies and world models onto real robotic systems\n\n - Debug hardware, software, sensing, and control issues\n\n - Develop deployment pipelines for testing, validation, and continuous improvement\n\n - Work directly with robotic manipulators, mobile robots, sensors, and compute systems\n\n\nAREAS OF FOCUS\n\n\n\n\nROBOT FOUNDATION MODELS\n\n - Policy evaluation\n\n - Model benchmarking\n\n - Simulation-based testing\n\n - Generalization analysis\n\n - Performance measurement\n\n\nWORLD MODELS\n\n - Environment modeling\n\n - Predictive systems\n\n - Representation learning\n\n - Multimodal learning\n\n - Model-based reasoning\n\n\nSIMULATION\n\n - Robotics simulators\n\n - Digital twins\n\n - Synthetic environments\n\n - Sim-to-real transfer\n\n - Evaluation infrastructure\n\n\nROBOTICS SYSTEMS\n\n - Robot setup and integration\n\n - Sensors and perception systems\n\n - Robot control\n\n - Hardware debugging\n\n - Deployment workflows\n\n\nWHAT WE'RE LOOKING FOR\n\n - Strong background in robotics, embodied AI, machine learning, or related fields\n\n - Experience working with physical robotic systems\n\n - Experience with robotic simulation platforms such as Isaac Sim, MuJoCo, Habitat, Gazebo, or similar\n\n - Familiarity with robot learning, foundation models, or world models\n\n - Strong software engineering skills in Python and robotics tooling\n\n - Experience deploying software onto real robotic hardware\n\n - Ability to debug across hardware, software, and machine learning systems\n\n - Comfort working in a fast-moving research and engineering environment\n\n\nWHY THIS ROLE MATTERS\n\nMoonlake's vision extends beyond simulation. We believe the future of robotics will be powered by world models that can learn in simulation and transfer seamlessly to the physical world.\n\nThis role sits at the center of that mission. You will help evaluate robotic intelligence in simulation, train the models that power robotic understanding, and deploy those systems onto real robots operating in the physical world.\n\nYour work will directly shape how future robotic systems learn, reason, and act.\n\n\n\nWe are committed to being an on-site, in-person team currently based in San Francisco.\n\n"},{"id":"bb79f4f6-16d6-4001-849f-09ab73b21b76","title":"Head of People Operations","department":"Operations","team":"Operations","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-05-11T01:32:55.213+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{}},"jobUrl":"https://jobs.ashbyhq.com/moonlake/bb79f4f6-16d6-4001-849f-09ab73b21b76","applyUrl":"https://jobs.ashbyhq.com/moonlake/bb79f4f6-16d6-4001-849f-09ab73b21b76/application","descriptionHtml":"Introducing Moonlake, AI for creating world simulations.
Moonlake is building the frontier of interactive world models: systems that generate, simulate, and reason over 3D environments for embodied AI, robotics and gaming. We develop the simulation infrastructure to build worlds (e.g., assets, scenes, digital twins) at scale.
Our team sits at the intersection of:
Embodied AI
Robotics simulation
Interactive 3D worlds
World models
Real-time generation
AI infrastructure
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, logic, and agents that can perceive and act.
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 creative tools and games to robotics training, simulations, and digital twins. Our goal is to make building and experimenting with these environments as accessible and scalable as publishing video on the internet.
We are looking for exceptional research engineers and applied researchers to help push the frontier of interactive AI.
We’re looking for a Head of People Operations to support the company’s day-to-day people and administrative operations.
This role is intentionally designed as a highly execution-oriented operational position focused on:
Coordination
Administrative support
Recruiting operations
Scheduling
HR process support
Internal organization
We’re looking for someone highly reliable, organized, responsive, and detail-oriented who enjoys helping teams operate smoothly in a fast-paced startup environment.
The ideal candidate thrives in ambiguity, communicates clearly, and is comfortable handling a wide range of operational tasks across the organization.
Coordinate interviews, scheduling, and recruiting logistics
Support onboarding and employee administrative processes
Help manage recruiting operations and candidate coordination
Organize internal documentation and operational workflows
Assist with calendar management and meeting coordination
Support day-to-day HR and people operations tasks
Maintain operational systems and internal process hygiene
Help improve organizational efficiency across teams
Work closely with leadership on administrative and operational support needs
Recruiting Operations
Interview scheduling
Candidate coordination
Recruiting process tracking
ATS support and data hygiene
Candidate communication
People Operations
Onboarding coordination
Internal documentation
HR process support
Team coordination
Employee administrative support
Administrative Support
Calendar management
Meeting logistics
Internal coordination
Process organization
Cross-functional operational support
Strong organizational and operational skills
Exceptional attention to detail
Clear written and verbal communication
High responsiveness and reliability
Ability to manage multiple workflows simultaneously
Comfort working in fast-paced startup environments
Strong execution mindset
Ability to operate independently with minimal oversight
Moonlake operates in a highly fast-moving research and engineering environment where speed and organization matter deeply.
This role helps ensure:
Hiring processes move efficiently
Teams stay coordinated
Operations remain organized
Leadership can stay focused on execution and product development
You’ll help create the operational foundation that supports Moonlake’s continued growth.
We are committed to being an on-site, in-person team currently based in San Francisco.
","descriptionPlain":"Introducing Moonlake, AI for creating world simulations.\n\n\nABOUT MOONLAKE\n\nMoonlake is building the frontier of interactive world models: systems that generate, simulate, and reason over 3D environments for embodied AI, robotics and gaming. We develop the simulation infrastructure to build worlds (e.g., assets, scenes, digital twins) at scale.\n\nOur team sits at the intersection of:\n\n - Embodied AI\n\n - Robotics simulation\n\n - Interactive 3D worlds\n\n - World models\n\n - Real-time generation\n\n - AI infrastructure\n\nMoonlake 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, logic, and agents that can perceive and act.\n\nOur 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 creative tools and games to robotics training, simulations, and digital twins. Our goal is to make building and experimenting with these environments as accessible and scalable as publishing video on the internet.\n\nWe are looking for exceptional research engineers and applied researchers to help push the frontier of interactive AI.\n\n\n\nTHE ROLE\n\nWe’re looking for a Head of People Operations to support the company’s day-to-day people and administrative operations.\n\nThis role is intentionally designed as a highly execution-oriented operational position focused on:\n\n - Coordination\n\n - Administrative support\n\n - Recruiting operations\n\n - Scheduling\n\n - HR process support\n\n - Internal organization\n\nWe’re looking for someone highly reliable, organized, responsive, and detail-oriented who enjoys helping teams operate smoothly in a fast-paced startup environment.\n\nThe ideal candidate thrives in ambiguity, communicates clearly, and is comfortable handling a wide range of operational tasks across the organization.\n\n\n\nWHAT YOU’LL DO\n\n - Coordinate interviews, scheduling, and recruiting logistics\n\n - Support onboarding and employee administrative processes\n\n - Help manage recruiting operations and candidate coordination\n\n - Organize internal documentation and operational workflows\n\n - Assist with calendar management and meeting coordination\n\n - Support day-to-day HR and people operations tasks\n\n - Maintain operational systems and internal process hygiene\n\n - Help improve organizational efficiency across teams\n\n - Work closely with leadership on administrative and operational support needs\n\n\nAREAS OF RESPONSIBILITY\n\nRecruiting Operations\n\n - Interview scheduling\n\n - Candidate coordination\n\n - Recruiting process tracking\n\n - ATS support and data hygiene\n\n - Candidate communication\n\nPeople Operations\n\n - Onboarding coordination\n\n - Internal documentation\n\n - HR process support\n\n - Team coordination\n\n - Employee administrative support\n\nAdministrative Support\n\n - Calendar management\n\n - Meeting logistics\n\n - Internal coordination\n\n - Process organization\n\n - Cross-functional operational support\n \n\n\nWHAT WE’RE LOOKING FOR\n\n - Strong organizational and operational skills\n\n - Exceptional attention to detail\n\n - Clear written and verbal communication\n\n - High responsiveness and reliability\n\n - Ability to manage multiple workflows simultaneously\n\n - Comfort working in fast-paced startup environments\n\n - Strong execution mindset\n\n - Ability to operate independently with minimal oversight\n \n\n\nWHY THIS ROLE MATTERS\n\nMoonlake operates in a highly fast-moving research and engineering environment where speed and organization matter deeply.\n\nThis role helps ensure:\n\n - Hiring processes move efficiently\n\n - Teams stay coordinated\n\n - Operations remain organized\n\n - Leadership can stay focused on execution and product development\n\nYou’ll help create the operational foundation that supports Moonlake’s continued growth.\n\n\n\nWe are committed to being an on-site, in-person team currently based in San Francisco.\n\n"},{"id":"b4da5336-47fa-474a-808c-9c528ac75f15","title":"Member of Technical Staff — RL & Agentic Model Training","department":"Engineering & Research","team":"Engineering & Research","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-09-21T18:06:08.277+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{}},"jobUrl":"https://jobs.ashbyhq.com/moonlake/b4da5336-47fa-474a-808c-9c528ac75f15","applyUrl":"https://jobs.ashbyhq.com/moonlake/b4da5336-47fa-474a-808c-9c528ac75f15/application","descriptionHtml":"Introducing Moonlake, AI for creating world simulations.
Moonlake is building the frontier of interactive world models: systems that generate, simulate, and reason over 3D environments for embodied AI, robotics and gaming. We develop the simulation infrastructure to build worlds (e.g., assets, scenes, digital twins) at scale.
Our team sits at the intersection of:
Embodied AI
Robotics simulation
Interactive 3D worlds
World models
Real-time generation
AI infrastructure
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, logic, and agents that can perceive and act.
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, simulations, and digital twins. Our goal is to make building and experimenting with these environments as accessible and scalable as publishing video on the internet.
We are looking for exceptional research engineers and applied researchers to help push the frontier of interactive AI.
We're looking for an exceptional Head of Design to shape the future of how people interact with AI-generated worlds. This is a rare opportunity to define the user experience for a new category of software at the intersection of AI, simulation, and creative tooling.
You'll work closely with researchers and engineers to translate cutting-edge AI capabilities into intuitive, elegant, and highly interactive product experiences. From rapid prototyping to polished production features, you'll own the end-to-end design and implementation of products that make complex AI systems feel simple and delightful.
Design and build intuitive user experiences for AI-powered creative and simulation tools.
Rapidly prototype new product concepts from idea to working implementation.
Collaborate closely with AI researchers and engineers to bring frontier capabilities into production.
Own product features end-to-end, from interaction design and frontend architecture to implementation.
Build interfaces that simplify complex workflows across world generation, simulation, and multimodal AI.
Continuously refine the product through user feedback, experimentation, and iteration.
Help establish the design language and product direction for an entirely new category of AI software.
Exceptional product intuition with a passion for crafting polished user experiences.
Strong frontend engineering experience with modern web technologies such as React, Next.js, TypeScript, and Tailwind CSS.
Experience designing and building products from zero to one.
Ability to rapidly prototype ideas and iterate with minimal direction.
Strong visual design skills with meticulous attention to detail.
Comfort working across design, product, and engineering disciplines.
Experience with AI products, creative tools, developer platforms, or simulation software is a plus.
The interface is the product. As AI systems become increasingly capable, the challenge is no longer just building better models—it's making those capabilities intuitive, accessible, and effortless to use. At Moonlake, you'll define how researchers, developers, and creators interact with the next generation of AI infrastructure for simulation and Physical AI. Your work won't just improve the user experience; it will shape how entirely new categories of AI products are discovered, understood, and adopted.
We are committed to being an on-site, in-person team currently based in San Francisco.
","descriptionPlain":"Introducing Moonlake, AI for creating world simulations.\n\n\nABOUT MOONLAKE\n\nMoonlake is building the frontier of interactive world models: systems that generate, simulate, and reason over 3D environments for embodied AI, robotics and gaming. We develop the simulation infrastructure to build worlds (e.g., assets, scenes, digital twins) at scale.\n\nOur team sits at the intersection of:\n\n - Embodied AI\n\n - Robotics simulation\n\n - Interactive 3D worlds\n\n - World models\n\n - Real-time generation\n\n - AI infrastructure\n\nMoonlake 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, logic, and agents that can perceive and act.\n\nOur 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, simulations, and digital twins. Our goal is to make building and experimenting with these environments as accessible and scalable as publishing video on the internet.\n\nWe are looking for exceptional research engineers and applied researchers to help push the frontier of interactive AI.\n\n\nTHE ROLE\n\nWe're looking for an exceptional Head of Design to shape the future of how people interact with AI-generated worlds. This is a rare opportunity to define the user experience for a new category of software at the intersection of AI, simulation, and creative tooling.\n\nYou'll work closely with researchers and engineers to translate cutting-edge AI capabilities into intuitive, elegant, and highly interactive product experiences. From rapid prototyping to polished production features, you'll own the end-to-end design and implementation of products that make complex AI systems feel simple and delightful.\n\n\n\n\nWHAT YOU'LL DO\n\n - Design and build intuitive user experiences for AI-powered creative and simulation tools.\n\n - Rapidly prototype new product concepts from idea to working implementation.\n\n - Collaborate closely with AI researchers and engineers to bring frontier capabilities into production.\n\n - Own product features end-to-end, from interaction design and frontend architecture to implementation.\n\n - Build interfaces that simplify complex workflows across world generation, simulation, and multimodal AI.\n\n - Continuously refine the product through user feedback, experimentation, and iteration.\n\n - Help establish the design language and product direction for an entirely new category of AI software.\n\n\nWHAT WE'RE LOOKING FOR\n\n - Exceptional product intuition with a passion for crafting polished user experiences.\n\n - Strong frontend engineering experience with modern web technologies such as React, Next.js, TypeScript, and Tailwind CSS.\n\n - Experience designing and building products from zero to one.\n\n - Ability to rapidly prototype ideas and iterate with minimal direction.\n\n - Strong visual design skills with meticulous attention to detail.\n\n - Comfort working across design, product, and engineering disciplines.\n\n - Experience with AI products, creative tools, developer platforms, or simulation software is a plus.\n\n\nWHY THIS MATTERS\n\nThe interface is the product. As AI systems become increasingly capable, the challenge is no longer just building better models—it's making those capabilities intuitive, accessible, and effortless to use. At Moonlake, you'll define how researchers, developers, and creators interact with the next generation of AI infrastructure for simulation and Physical AI. Your work won't just improve the user experience; it will shape how entirely new categories of AI products are discovered, understood, and adopted.\n\n\n\n\n\nWe are committed to being an on-site, in-person team currently based in San Francisco.\n\n"},{"id":"3be365f1-075b-463e-b352-b81888c62f55","title":"Member of Technical Staff — Agent Post-Training","department":"Engineering & Research","team":"Engineering & Research","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-07-28T17:32:05.932+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{}},"jobUrl":"https://jobs.ashbyhq.com/moonlake/3be365f1-075b-463e-b352-b81888c62f55","applyUrl":"https://jobs.ashbyhq.com/moonlake/3be365f1-075b-463e-b352-b81888c62f55/application","descriptionHtml":"Introducing Moonlake, AI for creating world simulations.
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 $50M 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.
We are hiring a Member of Technical Staff to lead reinforcement learning infrastructure and model post-training.
You will work closely with Qi and the research team to improve large vision-language and code-generating agents through fine-tuning, reinforcement learning, trajectory data, and scalable evaluation.
Moonlake already has deep expertise in 3D and world-building. This role adds the model-training experience needed to systematically improve agent performance and prepare the company for larger-scale RL across both digital and physical environments.
We are looking for a full-stack researcher and engineer who understands the complete training system and can make strong judgments about when training is necessary, which methods are likely to work, and what not to pursue.
Build RL and post-training pipelines for multimodal, vision-language, and code-generating agents
Develop infrastructure for supervised fine-tuning, preference optimization, reward modeling, and reinforcement learning
Create systems for collecting, filtering, replaying, and learning from agent trajectories
Design rewards, verifiers, and evaluations for long-horizon agent tasks
Improve agents’ ability to plan, write and execute code, use tools, recover from errors, and complete complex workflows
Scale distributed training and high-throughput rollout generation across multi-GPU environments
Improve training reliability, reproducibility, observability, and cost efficiency
Help define Moonlake’s long-term strategy for agent, robotics, and embodied-model training
Real-world experience training large language, vision-language, multimodal, or code models
Strong experience in reinforcement learning, post-training, or large-scale fine-tuning
Experience building distributed training or high-throughput inference systems
Familiarity with supervised fine-tuning, preference optimization, reward modeling, and agentic RL
Experience with code-generation agents, long-horizon evaluation, or tool-using systems
Strong Python skills and experience with PyTorch, JAX, or similar frameworks
Ability to work across data, models, environments, rewards, evaluation, and infrastructure
Strong research judgment and a bias toward building reliable systems
Experience at a frontier AI lab or organization operating large-scale training systems
Experience with code-model post-training or autonomous coding agents
Experience with multimodal models, robotics, simulation, or embodied AI
Experience designing verifiable rewards or outcome-based training systems
Experience scaling RL workloads across large GPU clusters
Within your first year, you will have:
Built Moonlake’s core post-training and RL infrastructure
Created scalable systems for learning from agent trajectories
Delivered measurable improvements in agent quality and task completion
Helped the team determine which problems require training and which do not
Established a reliable foundation for larger-scale agent and embodied-model training
Moonlake’s agents must do more than generate content. They must understand complex requests, reason across vision and language, write and execute code, operate tools, build interactive worlds, and recover from mistakes.
This role will build the training systems that allow those agents to continuously improve.
We are committed to being an on-site, in-person team currently based in San Francisco.
","descriptionPlain":"Introducing Moonlake, AI for creating world simulations.\n\n\nABOUT MOONLAKE\n\nMoonlake is building the frontier of interactive world models: systems that generate, simulate, and reason over 3D environments for robotics, embodied AI, and interactive applications.\n\nWe develop the infrastructure that enables intelligent systems to learn, evaluate, and interact within realistic virtual environments before operating in the physical world.\n\nOur work sits at the intersection of:\n\n - Robotics\n\n - Embodied AI\n\n - Interactive 3D Worlds\n\n - World Models\n\n - Simulation Infrastructure\n\n - Physical AI\n\nMoonlake 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.\n\nOur team has raised $50M 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.\n\nWe are looking for exceptional engineers to help build the simulation systems that will power the next generation of robotics and embodied intelligence.\n\n\n\nTHE ROLE\n\nWe are hiring a Member of Technical Staff to lead reinforcement learning infrastructure and model post-training.\n\nYou will work closely with Qi and the research team to improve large vision-language and code-generating agents through fine-tuning, reinforcement learning, trajectory data, and scalable evaluation.\n\nMoonlake already has deep expertise in 3D and world-building. This role adds the model-training experience needed to systematically improve agent performance and prepare the company for larger-scale RL across both digital and physical environments.\n\nWe are looking for a full-stack researcher and engineer who understands the complete training system and can make strong judgments about when training is necessary, which methods are likely to work, and what not to pursue.\n\n\n\nWHAT YOU’LL DO\n\n - Build RL and post-training pipelines for multimodal, vision-language, and code-generating agents\n\n - Develop infrastructure for supervised fine-tuning, preference optimization, reward modeling, and reinforcement learning\n\n - Create systems for collecting, filtering, replaying, and learning from agent trajectories\n\n - Design rewards, verifiers, and evaluations for long-horizon agent tasks\n\n - Improve agents’ ability to plan, write and execute code, use tools, recover from errors, and complete complex workflows\n\n - Scale distributed training and high-throughput rollout generation across multi-GPU environments\n\n - Improve training reliability, reproducibility, observability, and cost efficiency\n\n - Help define Moonlake’s long-term strategy for agent, robotics, and embodied-model training\n\n\nWHAT WE’RE LOOKING FOR\n\n - Real-world experience training large language, vision-language, multimodal, or code models\n\n - Strong experience in reinforcement learning, post-training, or large-scale fine-tuning\n\n - Experience building distributed training or high-throughput inference systems\n\n - Familiarity with supervised fine-tuning, preference optimization, reward modeling, and agentic RL\n\n - Experience with code-generation agents, long-horizon evaluation, or tool-using systems\n\n - Strong Python skills and experience with PyTorch, JAX, or similar frameworks\n\n - Ability to work across data, models, environments, rewards, evaluation, and infrastructure\n\n - Strong research judgment and a bias toward building reliable systems\n\n\nPREFERRED EXPERIENCE\n\n - Experience at a frontier AI lab or organization operating large-scale training systems\n\n - Experience with code-model post-training or autonomous coding agents\n\n - Experience with multimodal models, robotics, simulation, or embodied AI\n\n - Experience designing verifiable rewards or outcome-based training systems\n\n - Experience scaling RL workloads across large GPU clusters\n\n\nWHAT SUCCESS LOOKS LIKE\n\nWithin your first year, you will have:\n\n - Built Moonlake’s core post-training and RL infrastructure\n\n - Created scalable systems for learning from agent trajectories\n\n - Delivered measurable improvements in agent quality and task completion\n\n - Helped the team determine which problems require training and which do not\n\n - Established a reliable foundation for larger-scale agent and embodied-model training\n\n\nWHY THIS ROLE MATTERS\n\nMoonlake’s agents must do more than generate content. They must understand complex requests, reason across vision and language, write and execute code, operate tools, build interactive worlds, and recover from mistakes.\n\nThis role will build the training systems that allow those agents to continuously improve.\n\n\n\nWe are committed to being an on-site, in-person team currently based in San Francisco.\n\n"},{"id":"5d52f4e9-c4b5-4c3e-9731-c4c50022b68b","title":"Head of Design","department":"Engineering & Research","team":"Engineering & Research","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-08-05T01:52:42.402+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{}},"jobUrl":"https://jobs.ashbyhq.com/moonlake/5d52f4e9-c4b5-4c3e-9731-c4c50022b68b","applyUrl":"https://jobs.ashbyhq.com/moonlake/5d52f4e9-c4b5-4c3e-9731-c4c50022b68b/application","descriptionHtml":"Introducing Moonlake, AI for creating world simulations.
Moonlake is building the frontier of interactive world models: systems that generate, simulate, and reason over 3D environments for embodied AI, robotics and gaming. We develop the simulation infrastructure to build worlds (e.g., assets, scenes, digital twins) at scale.
Our team sits at the intersection of:
Embodied AI
Robotics simulation
Interactive 3D worlds
World models
Real-time generation
AI infrastructure
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, logic, and agents that can perceive and act.
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, simulations, and digital twins. Our goal is to make building and experimenting with these environments as accessible and scalable as publishing video on the internet.
We are looking for exceptional research engineers and applied researchers to help push the frontier of interactive AI.
We're looking for an exceptional Head of Design to shape the future of how people interact with AI-generated worlds. This is a rare opportunity to define the user experience for a new category of software at the intersection of AI, simulation, and creative tooling.
You'll work closely with researchers and engineers to translate cutting-edge AI capabilities into intuitive, elegant, and highly interactive product experiences. From rapid prototyping to polished production features, you'll own the end-to-end design and implementation of products that make complex AI systems feel simple and delightful.
Design and build intuitive user experiences for AI-powered creative and simulation tools.
Rapidly prototype new product concepts from idea to working implementation.
Collaborate closely with AI researchers and engineers to bring frontier capabilities into production.
Own product features end-to-end, from interaction design and frontend architecture to implementation.
Build interfaces that simplify complex workflows across world generation, simulation, and multimodal AI.
Continuously refine the product through user feedback, experimentation, and iteration.
Help establish the design language and product direction for an entirely new category of AI software.
Exceptional product intuition with a passion for crafting polished user experiences.
Strong frontend engineering experience with modern web technologies such as React, Next.js, TypeScript, and Tailwind CSS.
Experience designing and building products from zero to one.
Ability to rapidly prototype ideas and iterate with minimal direction.
Strong visual design skills with meticulous attention to detail.
Comfort working across design, product, and engineering disciplines.
Experience with AI products, creative tools, developer platforms, or simulation software is a plus.
The interface is the product. As AI systems become increasingly capable, the challenge is no longer just building better models—it's making those capabilities intuitive, accessible, and effortless to use. At Moonlake, you'll define how researchers, developers, and creators interact with the next generation of AI infrastructure for simulation and Physical AI. Your work won't just improve the user experience; it will shape how entirely new categories of AI products are discovered, understood, and adopted.
We are committed to being an on-site, in-person team currently based in San Francisco.
","descriptionPlain":"Introducing Moonlake, AI for creating world simulations.\n\n\nABOUT MOONLAKE\n\nMoonlake is building the frontier of interactive world models: systems that generate, simulate, and reason over 3D environments for embodied AI, robotics and gaming. We develop the simulation infrastructure to build worlds (e.g., assets, scenes, digital twins) at scale.\n\nOur team sits at the intersection of:\n\n - Embodied AI\n\n - Robotics simulation\n\n - Interactive 3D worlds\n\n - World models\n\n - Real-time generation\n\n - AI infrastructure\n\nMoonlake 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, logic, and agents that can perceive and act.\n\nOur 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, simulations, and digital twins. Our goal is to make building and experimenting with these environments as accessible and scalable as publishing video on the internet.\n\nWe are looking for exceptional research engineers and applied researchers to help push the frontier of interactive AI.\n\n\n\n\nTHE ROLE\n\nWe're looking for an exceptional Head of Design to shape the future of how people interact with AI-generated worlds. This is a rare opportunity to define the user experience for a new category of software at the intersection of AI, simulation, and creative tooling.\n\nYou'll work closely with researchers and engineers to translate cutting-edge AI capabilities into intuitive, elegant, and highly interactive product experiences. From rapid prototyping to polished production features, you'll own the end-to-end design and implementation of products that make complex AI systems feel simple and delightful.\n\n\n\nWHAT YOU'LL DO\n\n - Design and build intuitive user experiences for AI-powered creative and simulation tools.\n\n - Rapidly prototype new product concepts from idea to working implementation.\n\n - Collaborate closely with AI researchers and engineers to bring frontier capabilities into production.\n\n - Own product features end-to-end, from interaction design and frontend architecture to implementation.\n\n - Build interfaces that simplify complex workflows across world generation, simulation, and multimodal AI.\n\n - Continuously refine the product through user feedback, experimentation, and iteration.\n\n - Help establish the design language and product direction for an entirely new category of AI software.\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - Exceptional product intuition with a passion for crafting polished user experiences.\n\n - Strong frontend engineering experience with modern web technologies such as React, Next.js, TypeScript, and Tailwind CSS.\n\n - Experience designing and building products from zero to one.\n\n - Ability to rapidly prototype ideas and iterate with minimal direction.\n\n - Strong visual design skills with meticulous attention to detail.\n\n - Comfort working across design, product, and engineering disciplines.\n\n - Experience with AI products, creative tools, developer platforms, or simulation software is a plus.\n\n\n\n\nWHY THIS MATTERS\n\nThe interface is the product. As AI systems become increasingly capable, the challenge is no longer just building better models—it's making those capabilities intuitive, accessible, and effortless to use. At Moonlake, you'll define how researchers, developers, and creators interact with the next generation of AI infrastructure for simulation and Physical AI. Your work won't just improve the user experience; it will shape how entirely new categories of AI products are discovered, understood, and adopted.\n\n\n\nWe are committed to being an on-site, in-person team currently based in San Francisco.\n\n"}],"apiVersion":"1"}