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# Staff SoC Product & Test Engineer, SI Hardware

- **Company:** Tesla Motors
- **Location:** Palo Alto, CA, United States
- **Experience:** Expert
- **Salary:** $128,000.0 - $312,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Engineering, Software Debugging, Machine Learning, Operational Databases, Diagnostic Tools, Application Specific Integrated Circuits, Deep Learning, Yield Optimization, Hardware Acceleration, Data Pipelines
- **Published:** October 15, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/86923722/1

## About the Role

* 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
 * Deepexpertisein 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

## Description

Tesla's AI hardware team isseekinga highly motivated ASIC RTL Design Engineer with a specialization in the mathematical and computational aspects of custom AI accelerators. You will focus on designing high-performance, power-efficient RTL for math-intensive components that power our AI training and inference systems. This role emphasizesexpertisein tensor operations, matrix computations, and optimized data paths for advanced AI workloads.This role is located in Palo Alto, CA or Austin, TX. If you are passionate about pushing the boundaries of low-precision arithmetic, quantization techniques, and hardware acceleration for machine learning, this is your opportunity to contribute to revolutionary AI hardware.

Our Silicon Engineering team takes chips from first silicon through volume production - owning characterization, yield, diagnostics, and IPtest. As a Staff SoC Product and Test Engineer, you will own the full arc from NPI bring-up and performance characterization through production yield optimization and IP-level test content, ensuring every product ships at validated quality and performance.
What You'll 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 setoptimalsystem 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 -identifyand 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 defectparetos, recommend FA candidates, andvalidateimprovements 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 targetingidentifiedfault types