Staff DFT Architecture & RTL Engineer, AI Hardware - Palo Alto [268479]

$128,000 - $312,000 yearly

Job Description

The Tesla AI Hardware team is at the forefront of revolutionizing artificial intelligence through cutting-edge hardware innovation. Comprising brilliant engineers and visionaries, the team designs and develops advanced AI inference chips tailored to accelerate Tesla’s machine learning capabilities. A key part of this effort is Dojo, Tesla's custom supercomputer system built to efficiently train massive neural networks on vast video data from the fleet. The work of Tesla's AI Hardware team powers the neural networks behind Full Self-Driving (FSD), and Tesla humanoid robot, Optimus, pushing the boundaries of computational efficiency and performance. By creating custom silicon and optimized architectures, the team ensures Tesla remains a leader in AI-driven automotive and energy solutions, shaping a future where intelligent machines enhance human life.  Tesla's AI hardware team is seeking a highly motivated ASIC RTL Design Engineer with a specialization in the mathematical and computational aspects of custom AI accelerators. You will focus on designing high-performance, power-efficient RTL for math-intensive components that power our AI training and inference systems. This role emphasizes expertise in tensor operations, matrix computations, and optimized data paths for advanced AI workloads.  This role is located in Palo Alto, CA or Austin, TX.  If you are passionate about pushing the boundaries of low-precision arithmetic, quantization techniques, and hardware acceleration for machine learning, this is your opportunity to contribute to revolutionary AI hardware.  Our Silicon Engineering team designs highly testable SoCs that meet quality and coverage targets from day one of silicon. As a Staff DFT Arch & RTL Engineer, you will define the comprehensive DFT architecture and own RTL insertion of all test structures — from scan and MBIST to JTAG and OCC — setting the foundation for full-chip test coverage and bring-up readiness.

The Role

Anthony Antonucci

Qualifications

Relevant experience in Tesla AI; strong problem-solving skills; commitment to Tesla mission.

Immediate Fill

No