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Simulation Engineer (Robotics)

200 000 - 300 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Simulation Engineer (Robotics) (AI/Robotics): Building physically realistic simulation environments and infrastructure for the NEO humanoid robot with an accent on sim-to-real fidelity, sensor modeling, and scalable synthetic data production. Focus on validating dynamics and sensing against real hardware, improving physics and rendering throughput, and ensuring deterministic, reproducible simulation for robot learning.

Location: San Carlos, California, United States; on-site

Salary: $200,000–$300,000 per year plus equity

Company

hirify.global builds humanoid robots designed to perform household tasks safely in real-world environments.

What you will do

  • Build physically realistic simulation environments and infrastructure for the NEO humanoid robot.
  • Improve contact dynamics, articulated-body models, actuator and transmission fidelity using system-identification data from real hardware.
  • Model compliant and deformable bodies, as well as sensor noise, bias, dropout, latency, and sampling behavior.
  • Establish benchmarks and real-robot comparisons to quantify sim-to-real error and guide fidelity improvements.
  • Optimize physics and rendering pipelines while delivering diverse environments and synthetic-data pipelines for policy training and evaluation.
  • Develop deterministic, reproducible, tested simulation code used by robotics research and development teams.

Requirements

  • 5+ years of relevant industry experience, or an advanced degree with equivalent hands-on experience.
  • Strong programming skills in Python, C++, or similar languages, with experience using robotics simulators such as MuJoCo, PyBullet, or Isaac Sim.
  • Demonstrated experience improving simulation fidelity and closing the sim-to-real gap for behavior deployed on physical hardware.
  • Experience modeling sensor behavior and failure modes, including noise, bias, latency, and dropout.
  • Experience improving physics-simulation or rendering-pipeline performance.
  • Strong testing practices for simulation stacks, including physical-correctness and regression testing.

Nice to have

  • Experience with system identification on real hardware and converting measured parameters into simulation models.
  • Experience with procedural environment generation or scalable simulation-data production.
  • Familiarity with differentiable simulation, learned or neural simulators, or GPU-accelerated physics such as Warp or JAX-based frameworks.
  • Background in legged locomotion, dexterous manipulation, or contact-rich and deformable-body simulation.

Culture & Benefits

  • Medical, dental, and vision coverage.
  • Paid time off, company holidays, and parental leave.
  • 401(k) plan with company match, plus FSA and HSA options.
  • Commuter benefits, disability and life insurance, and an Employee Assistance Program.
  • On-site snacks and catered lunches.

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