ML Infra Engineer (TPU/Jax/Optimization)
Physical IntelligenceSan Francisco, California, United States
Posted January 23, 2026
Full Time
About the Company
Physical Intelligence is dedicated to integrating general-purpose AI with physical systems. Our team of engineers, scientists, roboticists, and entrepreneurs develops foundational models and learning algorithms to advance robotics and physically-actuated devices. We aim to revolutionize how machines interact with the world.
Job Description
In this role you will help scale and optimize our training systems and core model code. You’ll own critical infrastructure for large-scale training, from managing GPU/TPU compute and job orchestration to building reusable and efficient JAX training pipelines.
Requirements
- Strong software engineering fundamentals
- Experience building ML training infrastructure or internal platforms
- Hands-on large-scale training experience in JAX (preferred), PyTorch
- Familiarity with distributed training, multi-host setups, data loaders, and evaluation pipelines
- Experience managing training workloads on cloud platforms (e.g., SLURM, Kubernetes, GCP TPU/GKE, AWS)
- Ability to debug and optimize performance bottlenecks across the training stack
- Strong cross-functional communication and ownership mindset
Benefits
- Competitive salary
- Comprehensive benefits package
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
