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

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