{"id":630550,"url":"https://alion.io/job/embedding-vc-member-of-technical-staff-simulation-engineer","title":"Member of Technical Staff - Simulation Engineer","company":{"id":6711,"name":"Embedding VC","domain":"embedding.vc","url":"https://alion.io/company/embedding-vc","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":274000,"max_usd":549000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":844},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Digital Twin","optional":false},{"name":"Drake","optional":false},{"name":"Embodied AI","optional":false},{"name":"Gazebo","optional":false},{"name":"Isaac Sim","optional":false},{"name":"Machine Learning","optional":false},{"name":"MuJoCo","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Physical AI","optional":false},{"name":"PyBullet","optional":false},{"name":"Python","optional":false},{"name":"Sim-to-Real","optional":false},{"name":"Synthetic Data","optional":false},{"name":"World Models","optional":false},{"name":"ROS2","optional":true}],"status":"live","first_seen_at":"2026-07-27T05:54:53Z","employer_posted_date":"2026-07-27","last_verified_at":"2026-10-20T14:56:20Z","board_verified":true,"closed_at":null,"days_open":85,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":85},"description":"Introducing Moonlake, AI for creating world simulations.\nAbout Moonlake\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.\nWe develop the infrastructure that enables intelligent systems to learn, evaluate, and interact within realistic virtual environments before operating in the physical world.\nOur work sits at the intersection of:\nRobotics\n\nEmbodied AI\n\nInteractive 3D Worlds\n\nWorld Models\n\nSimulation Infrastructure\n\nPhysical 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.\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.\nWe are looking for exceptional engineers to help build the simulation systems that will power the next generation of robotics and embodied intelligence.\nThe Role\nWe're looking for a Member of Technical Staff - Simulation Engineer to build the simulation systems and infrastructure that power robotics and embodied AI.\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.\nYou'll collaborate closely with teams working on robotics, world models, AI systems, and simulation infrastructure.\nThis is a highly hands-on software engineering role for builders who enjoy solving challenging problems across robotics, simulation, physics, and distributed systems.\nWhat You'll Do\nBuild Robotics Simulation Systems\nDesign and develop simulation environments for robotics training and evaluation\n\nBuild simulation systems supporting perception, navigation, manipulation, and embodied AI tasks\n\nDevelop scalable simulation workflows that enable rapid experimentation and robot learning\n\nBuild reusable tooling that makes simulation development efficient and reliable\n\nImprove Sim-to-Real Transfer\nCompare simulation outputs against real-world robot behavior\n\nModel robot dynamics, sensors, contacts, and environmental interactions\n\nTune simulation fidelity through calibration and validation\n\nImprove policy transfer using calibration, benchmarking, and domain randomization techniques\n\nSupport Robot Learning\nPartner with robotics and AI teams to build environments for training and evaluating intelligent systems\n\nDevelop infrastructure supporting large-scale synthetic data generation\n\nCreate simulation benchmarks for evaluating robotics models\n\nOptimize simulation environments for machine learning workflows\n\nBuild Simulation Infrastructure\nDevelop production-quality software supporting simulation systems\n\nBuild tools that improve simulation reliability, testing, and scalability\n\nImprove pipelines for simulation creation, execution, and evaluation\n\nOptimize simulation performance while maintaining physical realism\n\nAreas of Focus\nRobotics Simulation\nPhysics simulation\n\nRobot dynamics\n\nSensor simulation\n\nSim-to-real transfer\n\nRobot learning environments\n\nSimulation Infrastructure\nSynthetic data generation\n\nSimulation tooling\n\nEnvironment automation\n\nPerformance optimization\n\nBenchmarking and validation\n\nRobotics\nPerception\n\nManipulation\n\nNavigation\n\nEmbodied AI\n\nPhysical reasoning\n\nWhat We're Looking For\nExperience building robotics simulation systems for robotics, autonomy, embodied AI, or physical AI\n\nExperience with robotics simulators such as Isaac Sim, MuJoCo, PyBullet, Gazebo, Drake, or equivalent\n\nUnderstanding of robot dynamics, physics simulation, sensor modeling, and sim-to-real transfer\n\nStrong software engineering skills in Python, C++, or similar languages\n\nExperience building production-quality simulation software and infrastructure\n\nExperience writing reliable, maintainable, and well-tested code\n\nStrong systems thinking and problem-solving skills\n\nAbility to work closely with robotics, machine learning, and research teams\n\nNice to Have\nExperience with NVIDIA Isaac Sim or Omniverse\n\nExperience generating synthetic data for robotics or machine learning\n\nExperience with domain randomization or procedural environment generation\n\nFamiliarity with ROS2 and modern robotics software stacks\n\nExperience optimizing simulation performance or GPU-accelerated simulation\n\nMS or PhD in Robotics, Computer Science, Mechanical Engineering, or a related field\n\nWhy This Role Matters\nMoonlake's vision depends on simulation systems that allow intelligent agents to learn, evaluate, and improve before operating in the physical world.\nThe quality of our world models, robotics systems, and AI infrastructure depends on simulation environments that are physically accurate, computationally efficient, and scalable.\nAs a Simulation Engineer, you'll build the core simulation infrastructure that powers the next generation of robotics and embodied AI.\nWe are committed to being an on-site, in-person team currently based in San Francisco.","description_format":"text","description_chars":5483,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Venture Capital"],"lifecycle":[{"event":"open","at":"2026-09-10T19:15:14Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 1","filings_12m":1,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":167500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":62,"band":"ok","label":"Likely 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