Senior Simulation Engineer (Manipulation)

About the Role

As a Senior Simulation Engineer at Humanoid, you will build and maintain simulation environments for dexterous manipulation tasks across industrial, service, and home domains. This is primarily a simulation and reinforcement learning-focused role, so we are looking for experience creating realistic physics-based environments and training RL policies, while experience in robotics isn’t strictly required. However, if you don’t have such experience, be prepared that you’d need to familiarize yourself with a new domain quickly.

What You’ll Do

  • Design and implement gym environments for manipulation tasks spanning industrial, service, and home settings, defining appropriate observation spaces, action spaces, and reward functions.
  • Analyze and address reward hacking — identify cases where learned policies exploit reward misspecification and iterate on reward design to produce robust behaviors.
  • Analyze and reduce the sim-to-real gap by tuning physics parameters, improving asset fidelity, and validating simulation behavior against real-world data.
  • Work with third-party vendors to procure, validate, and integrate high-quality 3D assets (objects, fixtures, environments) suitable for physics-based simulation.
  • Ensure correct physics setup — contact dynamics, friction, mass properties, joint limits — so that trained policies transfer reliably to hardware.
  • Identify and reduce simulation bottlenecks to maximize training throughput and environment step rates.
  • Improve our simulation-based evaluation and reinforcement learning infrastructure to support rapid iteration and scaling.

What We’re Looking For

  • 3+ years building simulation environments or game-engine-based interactive systems (industry or research) with shipped products, published results, or equivalent artifacts to show for it.
  • Deep hands-on experience with at least one physics simulator (Isaac Sim/IsaacLab, MuJoCo, PyBullet, Drake) or equivalent game engine experience (Unreal, Unity) with a focus on physically accurate interactions.
  • Strong practical experience running large-scale parallel simulation on GPU clusters and good familiarity with modern GPU-accelerated simulation infrastructure.
  • Strong Python; you can profile bottlenecks, debug physics issues, and write maintainable research code.
  • Familiarity with modern software engineering practices.
  • You document experiments clearly and communicate trade-offs crisply.

Nice to have

  • Robotics or manipulation-specific experience (grasping, contact-rich tasks, deformable objects).
  • Experience designing reward functions and training RL policies in simulated environments; solid understanding of common failure modes (reward hacking, distribution shift, sim-to-real gap).
  • Experience with NVIDIA Isaac Sim & IsaacLab specifically.
  • Experience with domain randomization, system identification, or other sim-to-real transfer techniques.
  • Publications at top-tier robotics or RL conferences or equivalent open-source contributions.
  • Familiarity with robocasa, robosuite or similar open-source manipulation simulation frameworks.

What We Offer

  • Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
  • Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support.
  • Equity included–we believe builders should share in what they build.
  • Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings.
  • Free daily breakfast, catered lunch, and snacks in‑office.
  • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
  • Freedom to influence the product and own key initiatives.

How to Apply

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