Position 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 builds and maintains the end-to-end CAD infrastructure that powers tapeout for complex SoC and 3D IC designs. As a Staff CAD Flow Engineer, you will own the development, deployment, and continuous improvement of implementation and signoff flows — from RTL to GDS. You will be at the center of how we scale design productivity and PPA optimization using agentic AI-driven flows.
Responsibilities
Build and maintain RTL-to-GDS implementation flows including synthesis, placement, routing, and signoff integration
Own CTS flow development and optimization — tune clock tree strategies to achiev