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 is building some of the most complex SoCs. As a Staff EM/IR Engineer, you will own power grid architecture, EMIR signoff, and IR budget strategy across full-chip and multi-die designs. Your work directly determines whether silicon performs reliably at the power and frequency targets that matter — from individual compute blocks through the complete 3D stack.

Responsibilities

Design and validate power grids for large SoCs — set IR budgets per compute block and enforce targets through implementation
Own signal EM and power EM analysis flows end-to-end, from block-level through full-chip

📌 Staff EM (Bengaluru)
🏢 Tesla
📍 Bengaluru