SOC Yield & Diagnostics Engineer, AI Hardware - Palo Alto [260767]

$160,000 - $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.

Candidate in this role will own setting up volume diagnostic flows for ATPG/BIST, analyzing volume data, driving corrective actions with foundry to accelerate yield ramp.

We are open to hiring in Austin, TX; Palo Alto, CA.

The Role

  • Architect & set up volume diagnostic data processing pipelines for SOC logic & memory
  • Partner with EDA vendors, integrate AI based deep learning techniques to improve diagnostics convergence, fault isolation and failure analysis success
  • Collaborate with foundry partners to accelerate defect reduction – build defect paretos, recommend FA candidates, validate improvements from process changes
  • Develop models to predict yield trends, detect anomalies, prefetch corrective actions
  • Work with DFT and PTE tams to root cause qualification fails/field returns, aid development of new tests targeting specific fault types

Requirements

  • Degree in Electrical Engineering, Computer Science or related fields, or equivalent experience
  • 5+ years of experience in ATPG and SRAM BIST diagnostics, fault isolation, failure analysis
Anthony Antonucci

Qualifications

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

Immediate Fill

No