RTL Design Engineer, Interconnect & Memory Systems - Palo Alto [274380]

$128,000 - $414,000 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.

The Tesla AI Hardware team is looking for an ASIC RTL Design Engineer specializing in interconnect and memory systems to drive the development of next-generation AI accelerators. In this role, you will focus on the critical data path elements of custom ASICs, including Network on Chip (NoC) architectures, DMA engines, memory controllers, Memory Management Units (MMUs), arbiters, and AXI protocol implementations. You will collaborate closely with system architects, verification engineers, physical design teams, and software/firmware developers to deliver high-performance, power-efficient designs that enable massive-scale AI training and inference. This position is based in Palo Alto, CA, or Austin, TX and offers the opportunity to work on cutting-edge hardware that powers Tesla's autonomous driving and AI initiatives.

The Role

  • Architect, design, and implement RTL (Verilog/SystemVerilog) for high-performance interconnect and memory subsystems, including NoC topologies, DMA controllers, and AXI-based data paths optimized for AI workloads
Anthony Antonucci

Qualifications

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

Immediate Fill

No