Machine Learning Hardware Performance Engineer, Self-Driving Hardware - Tesla Motors : Job Details

Join Tesla's Self-Driving Hardware team as a Machine Learning Hardware Performance Engineer, Self-Driving Hardware.

As part of Tesla's innovative team, you will focus on performance modeling, architectural exploration, and hardware-software co-design to optimize Tesla's custom machine learning silicon for autonomous vehicles. The ideal candidate has experience in hardware performance engineering, a strong understanding of ML applications, and thrives in a fast-paced, small-team environment.

• Engineering degree in Computer Engineering, Electrical Engineering, Computer Science, or related field, or equivalent experience.
• At least 3 years of experience in performance modeling, hardware architecture, or ML acceleration.
• Strong knowledge of AI accelerators, GPU/CPU architectures, memory hierarchies, and parallel computing.
• Proficiency in Python and C++ for modeling and analysis; familiarity with ML frameworks.
• Understanding of neural network architectures and their computational needs.
• Experience working with hardware/software teams to translate algorithms into hardware features.
• Excellent documentation and communication skills.

Tesla offers competitive compensation and a comprehensive benefits package starting from day one, including health plans, family benefits, 401(k), stock options, insurance, and various employee programs.