Tesla is seeking an AI Engineer Intern to join their cutting-edge team working on machine learning deployment and optimization. This role sits at the intersection of AI and systems engineering, focusing on productionalizing ML models for Tesla's Autopilot and Optimus projects.
The position offers a unique opportunity to work with state-of-the-art neural networks and Tesla's custom AI ASIC hardware. As an intern, you'll be involved in building robust AI frameworks for edge device deployment, training and fine-tuning networks on large GPU clusters, and optimizing network performance while minimizing latency.
The ideal candidate should be pursuing a degree in Computer Science or related field, with strong foundations in machine learning frameworks like PyTorch and experience with CUDA programming. You'll work closely with AI scientists and compiler engineers, gaining invaluable experience in real-world AI applications.
This full-time internship is based in Palo Alto, CA, offering competitive compensation ranging from $100,000 to $150,000 annually, plus comprehensive benefits. The program runs from January through April/May 2025, requiring a minimum 12-week commitment with 40-hour work weeks.
Tesla provides an exceptional learning environment where interns work on critical projects with direct impact on the company's autonomous driving and robotics initiatives. You'll receive mentorship from industry experts and gain hands-on experience with cutting-edge technology while contributing to Tesla's mission of accelerating the world's transition to sustainable energy.
The role offers extensive benefits including medical, dental, and vision coverage, 401(k), stock purchase options, and various other perks. This is an excellent opportunity for students graduating between 2025-2026 to gain practical experience in deploying AI systems at scale while working for one of the world's most innovative companies.