Tesla's Dojo & Self-Driving Hardware team is seeking a Staff IC Package Mechanical Engineer to drive the development of advanced IC packaging for their next-generation Self-Driving Hardware and Dojo Super AI Computer. This is a highly visible role where you'll work at the intersection of hardware innovation and artificial intelligence.
The position offers an exciting opportunity to work on cutting-edge technology that directly impacts Tesla's autonomous driving capabilities and AI computing infrastructure. You'll be responsible for mechanical simulation, materials characterization, and ensuring the reliability of advanced IC packaging solutions. Working closely with cross-functional teams, you'll influence packaging architecture decisions and drive design improvements for manufacturing and reliability.
The role requires a strong background in IC packaging mechanical/material engineering, with expertise in finite element analysis tools and advanced packaging technologies. You'll apply your knowledge to solve complex engineering challenges, from component warpage analysis to optimization of structural designs. The position offers exposure to state-of-the-art packaging technologies, including 2.5D/3D packages, SoC & HBM integration, and 3D IC structural concepts.
Tesla offers a comprehensive benefits package, including competitive salary with stock awards, excellent healthcare coverage, 401(k) with employer match, and various family-friendly benefits. The company's culture promotes innovation, problem-solving, and personal growth in a fast-paced environment. Located in the San Francisco Bay Area, you'll be working at the heart of Silicon Valley's technology ecosystem.
This role is perfect for someone who thrives in a dynamic environment, has a passion for advancing technology, and wants to contribute to Tesla's mission of accelerating the world's transition to sustainable energy. The position offers both technical challenges and leadership opportunities, making it an excellent choice for experienced engineers looking to make a significant impact in the automotive and AI industries.