SOC Yield & Diagnostics Engineer, AI Hardware

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SOC Yield & Diagnostics Engineer, AI Hardware

| Job Category | Tesla AI | | Location | Bengaluru Urban, KA | | Req. ID | 275372 | | Job Type | Full-time |

What to Expect

What to Expect

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.

We are open to hiring in Bangalore, India.

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.

What You’ll Do

What You’ll Do

• 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

What You’ll Bring

What You’ll Bring

• 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

• Solid understanding in CMOS fabrication process in latest FinFET/GAA technologies

• Good understanding of DFT implementation of ATPG and MBIST

• Experience using industry standard EDA diagnostics offerings form Tessent/Synopsys

• Strong automation skills – building python based AI data analysis routines is a bonus

• Tesla is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor, including veteran status and disability status, protected by applicable federal, state or local laws.

• Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

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