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Simulation Engineer - Manipulation
Humanoid
London, GBR
Full-time
Senior · 3+ years experience
Onsite
Discovered 2 weeks ago
PythonMuJoCoPyBulletDrakeIsaac SimIsaacLab
Free
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Role Overview
We're hiring a Senior Simulation Engineer to join our VLA team based in London.
In this role, 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.
Key Skills for This Role
PythonMuJoCoPyBulletDrakeIsaac SimIsaacLab
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About The Role
We're hiring a Senior Simulation Engineer to join our VLA team based in London.
In this role, 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.
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