Staff Physical Design, 3D Hybrid Bonding, AI Hardware - Palo Alto [268248]

$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 looking for experienced, highly skilled VLSI engineers who enjoy working across the logic, circuit, methodology, and physical design levels. Our physical design team is growing to tackle a wider range of projects, building on our in-house SOC design expertise. This position entails the design, construction and integration of SOCs, IP, circuits, tool flows, and methodologies into systems using advanced technologies - from definition through characterization.

Our AI Hardware engineering team is designing next-generation chips using advanced 3D IC architectures with hybrid bonding technology. As a Staff Physical Design Engineer, you will own the physical implementation of complex multi-die stacks — from floorplan through signoff — at the leading edge of die-to-die integration. This role is critical to delivering chips that meet aggressive performance, power, and area targets using sub-micron interconnect pitches.

The Role

  • Own physical design implementation for 3D IC designs including floorplanning, bond pad assignment, and face-to-face or face-to-back die stacking using hybrid bonding
Anthony Antonucci

Qualifications

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

Immediate Fill

No