Are you passionate about using physics simulation, reinforcement learning and humanoid robots? Curious what you’d be able to accomplish with total access to Boston Dynamics robots? As a Research Engineer working on physics simulation on the Atlas Behavior Learning team, you will join a world-class team of engineers and scientists focused on creating groundbreaking mobile manipulation behaviors for humanoids.

We are investing in reinforcement learning and physics simulation as a key technology for achieving dexterous and robust whole-body manipulation that can be deployed in real-world environments.

In this role, you will be responsible for:

Develop large scale physics simulation that can efficiently train reinforcement learning agents
Evaluate and benchmark different physics simulators, mesh representations and rendering pipelines
Scale physics simulations to generate millions of samples per second
Build synthetic rendering pipelines to create photorealistic images
Extend existing physics simulators to improve simulation quality

We are looking for:

MS with 3 years of industry experience or PhD in Computer Science, Machine Learning, Robotics, or a related field
Detailed understanding physics simulation including contact solvers and mesh representations
Extensive experience with physics simulation including MuJoCo, IsaacSim and Warp
Experience with rendering pipelines to create photorealistic synthetic images
Strong foundation in Python, C++ and modern numerical frameworks (e.g., PyTorch and Jax)
Experience in algorithm design, debugging, and performance optimization

The ideal candidate has:

A PhD or equivalent research experience in reinforcement learning or robotic manipulation
Publications at top tier robotics venues including RSS, CoRL, Science Robotics, ICRA
Experience training RL policies in simulation for robots or simulated characters
Strong understanding of the advantages and disadvantages of gpu based simulators
Understanding of GPU and CPU compute architectures
Experience with heterogeneous compute clusters, kubernetes and docker

Why join us?

Direct access to cutting-edge robots and the infrastructure to run large-scale experiments
A collaborative, mission-driven team where your ideas have real impact
The chance to help define what’s possible in real-world robotics

#LI-JM1

Research Engineer, Atlas Physics Simulation for RL