Staff SoC Product & Test Engineer, AI Hardware
Tesla · Posted Nov 3
Electric vehicles, solar panels, and integrated clean energy storage solutions
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About the role
Tesla's AI Hardware team designs custom AI inference chips and the Dojo supercomputer to accelerate machine learning for Full Self-Driving and the Optimus humanoid robot. The Silicon Engineering team takes chips from first silicon through volume production, owning characterization, yield, diagnostics, and IP test. This Staff SoC Product and Test Engineer role in Bengaluru owns NPI bring-up, performance characterization, production yield optimization, and IP-level test content.
What you will do
- Define characterization plans for processor cores and IPs — develop NPI performance stress tests across process, voltage, and temperature
- Perform and correlate measurements across ATE and SLT platforms over volume — define guard bands and drive corrective actions for test platform alignment
- Develop solutions to set optimal system voltage and frequency operating points — align from manufacturing screen through system operation
- Own silicon bring-up — execute structural, functional, and parametric tests; debug failures and quantify performance shifts using accelerated stress
- Analyze volume production data — identify and implement solutions to improve yield and throughput
- Architect and deploy volume diagnostic data processing pipelines for SoC logic and memory
- Integrate AI-based deep learning techniques to improve diagnostics convergence, fault isolation, and failure analysis success rates
- Drive defect reduction with foundry partners — build defect paretos, recommend FA candidates, and validate improvements from process changes
- Develop models to predict yield trends, detect anomalies, and drive corrective actions
- Root cause qualification fails and field returns — develop new test content targeting identified fault types
Skills used in this role
What the employer is looking for
- Degree in Electrical Engineering, Computer Engineering, or related field, or equivalent experience
- 10+ years across SoC characterization, yield, diagnostics, and IP test engineering
- Hands-on experience across ATE, SLT, and bench platforms
- Deep expertise in PVT characterization, guard band definition, and ATE/SLT correlation
- Experience with diagnostic data pipelines and AI/ML-based fault isolation techniques
- IP test development experience for High-Speed IO and Mixed Signal IPs
- Ability to use agentic AI flows to automate yield analysis, diagnostics, and test optimization
Benefits and support
- Compensation and benefits are detailed in the job posting
About Tesla
Tesla, Inc. is an American multinational automotive and clean energy company that designs, manufactures, and sells electric vehicles, battery energy storage systems, and solar panels. Headquartered in Austin, Texas, the company is dedicated to accelerating the world's transition to sustainable energy through innovative technology and engineering. Its product ecosystem ranges from mass-market passenger cars and commercial semi-trucks to advanced energy generation and storage solutions.
- Industry
- Automotive
- Company size
- 125000+ employees
- Founded
- 2003
- Location
- Austin, Texas, USA
- Funding stage
- Public Company
Funding
Public Company · $6.0B raised
- 2020-05-18Post Ipo Debt$5.0B
Leadership
Elon Musk
Chief Executive Officer & Director
Chief Financial Officer & Chief Accounting Officer
Senior Vice President, Automotive
General Counsel & Corporate Secretary
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