SOC Verification Engineer

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 AI Hardware team is looking for a SOC Verification Engineer who will be responsible for pre-silicon RTL verification of block and top-level SOC. With a strong knowledge of SOC architecture and SOC verification methodologies, you

will interact with multiple teams and build a metric-driven, configurable, and flexible verification environment.

Work with team members to define and set up a SOC-level verification environment.

Architect highly reusable UVM based test benches and integrate complex multi-instance VIPs, sub-system test benches, and test suites at the SOC level.

Achieve targeted coverage and work with Design.

Architecture, SW, FW and external IP delivery teams to efficiently integrate and verify the design.

Create coverage driven verification plans from specifications.

Execute, review, and refine to achieve coverage targets.

Define and review verification and validation test plans created by other members of the team.

Post-silicon validation and SOC bring-up.