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
