Research Engineer, Atlas Physics Simulation RL

Position: Research Engineer, Atlas Physics Simulation for RL
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  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 Mu Jo Co , Isaac Sim 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, ICRAExperience 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
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