Software Engineer, Generalist, AI Infrastructure

Tesla is seeking a Software Engineer to join their Autopilot team, focusing on reinforcing, optimizing, and scaling neural network training infrastructure. This role is crucial for Tesla's self-driving capabilities, working with various neural networks designed by the Deep Learning team to process large amounts of data. The position combines machine learning infrastructure expertise with high-performance computing, requiring strong Python programming skills and deep understanding of GPU optimization.

The role offers an exciting opportunity to work on cutting-edge AI technology in the automotive industry, directly impacting the development of Tesla's autonomous driving capabilities. You'll be responsible for building and maintaining robust training systems, ensuring efficient data processing, and optimizing training performance across GPU clusters.

The ideal candidate will bring strong technical expertise in Python programming, system-level software, and machine learning concepts, particularly in scaling neural network training. Experience with PyTorch, CUDA programming, and DevOps practices is essential. This position offers competitive compensation ranging from $104,000 to $360,000 annually, plus comprehensive benefits including medical, dental, and vision coverage, 401(k) matching, and stock purchase options.

Working at Tesla's Palo Alto location, you'll be part of a team pushing the boundaries of AI and autonomous driving technology. This role provides an excellent opportunity for career growth in the intersection of software engineering and machine learning infrastructure, while contributing to Tesla's mission of accelerating the world's transition to sustainable energy.