Skild AI is building the world's first general purpose robotic intelligence that adapts to unseen scenarios. They are seeking a Physics Simulation Scientist to lead advancements in simulation and physics-solving for their robot foundation model training, collaborating with experts and internal teams to build an open-source simulation stack.
Responsibilities:
- Improve and develop new physics solvers and modeling methods for high-DoF, contact-rich robotics tasks
- Design and implement GPU-accelerated solvers with a focus on throughput, stability, and scalability
- Profile and optimize simulation performance on modern GPU hardware and distributed clusters
- Work with external collaborators and the open-source community to advance simulation for robotics
- Collaborate with scene-generation engineers to scale robotic experience across diverse real-world environments
- Partner with ML researchers to improve sim-to-real transfer through better physical modeling, calibration, and training regimes
- Contribute to the long-term technical direction of Skild’s physical modeling and sim-to-real strategy