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.
Requirements
- MS with 3 years of industry experience or PhD in Computer Science, Machine Learning, Robotics, or a related field
- Detailed understanding of 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
- 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