startupreinforcement learningroboticssimulationmujocoisaac simcontrolssim to realrobot learning
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Многоразвернуть
$350к-500к/год
$200к$230кмедиана$250к
По похожим ролям (50) ~ $230к/год
На СНГ рынке: $5.3к/мес ($3.9к - $6.5к)
100
Крутая вакансия
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Чёткая senior-роль охватывает симуляцию, обучение роботов и внедрение на реальных системах, а также связана с передовыми AI и робототехникой; главный компромисс - обязательная работа в офисе только в нескольких городах.
Оплата выше рынка
Передовой стек
Понятная зона ответственности
Передовой AI
?Только работа в офисе
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Simulation Engineer (Robotics): Building realistic simulation environments and training low-level robot controllers with reinforcement learning across virtual and physical embodiments with an accent on physics fidelity, contact-rich simulation, and sim-to-real transfer. Focus on designing environments from scratch, tuning assets and domain randomization, bridging simulation-trained policies to real robots, and leading simulation architecture while remaining hands-on.
Location: On-site in New York City, Geneva, or Zurich
Compensation: $350K–$500K annually, plus equity
Company
hirify.global is a frontier lab building large action models and world models that perceive, predict, and act across virtual and physical environments, building on Medal’s gaming platform.
What you will do
Train low-level controllers for robots using reinforcement learning in simulation.
Build realistic simulation environments for model training, including environments, assets, physics, and domain randomization.
Work across the stack from solvers and low-level controllers to high-level policies.
Deploy simulation-trained policies on real robots across multiple embodiments.
Set technical direction for simulation and support the growth of simulation engineers while continuing to write code.
Requirements
6+ years of hands-on experience with robot learning in simulation, including contact-rich manipulation, legged locomotion, whole-body control, or similar areas.
Deep production simulation experience with environments, assets, domain randomization, contact models, actuator dynamics, and solver settings.
Strong reinforcement learning fundamentals and experience with sim-to-real transfer.
Experience deploying simulation-trained policies on real robots across more than one embodiment.
Experience building simulation from scratch and creating systems that other engineers depend on.
Experience leading simulation technically while remaining hands-on, ideally including hiring engineers.
Experience with a major simulator such as Isaac Sim or MuJoCo.
Culture & Benefits
In-person work from one of the New York, Geneva, or Zurich offices.
Comprehensive medical, dental, and vision coverage.
401(k), fertility and parental benefits, and generous paid time off.
Daily meals, wellness and commuter benefits at the New York headquarters.
Learning and development stipend; benefits vary by country and employment type.
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