Software Engineer for the Optimus team building tools and infrastructure for ML Platform automation, data and inference pipelines, and model evaluation for robotic intelligence.

The AI Infrastructure Engineer will build and improve the training infrastructure, pipelines, and deployment tools for neural networks used in Optimus robots. This role focuses on enabling faster and more stable training, validating PyTorch models, managing datasets, and deploying trained models to Tesla hardware, with a significant emphasis on scaling training jobs across GPU clusters.

This role involves collecting data for the Optimus robot by performing physical tasks, wearing motion capture equipment, and reporting on equipment performance. It requires attention to detail, physical stamina, and basic technical troubleshooting skills to support the development of Tesla's robotics initiatives.