Senior SoC Debug Engineer - Platform Validation & AI Debug

Qualcomm; San Diego (CA); On-site; USD 122,000 - 183,000; Full time

Job summary

Qualcomm Technologies, Inc. in San Diego, CA seeks a Senior SoC Debug Engineer to join the Silicon Validation team. You will bring up and debug embedded platforms, analyze failures across pre-Si and post-Si stages, and develop automation to accelerate debugging workflows.

Responsibilities include defining debug strategies for partners, isolating failing components such as PVT issues, and advancing AI-assisted debugging techniques to triage complex failures.

Qualifications

• Bachelor's degree in Science, Engineering, or related field.
• 2+ years of ASIC design, verification, validation, integration, or related work experience.

Responsibilities

• Bring up, debug, analyze failures at the embedded platform level in pre-Si and post-Si phases.
• Support, develop, and implement solutions for faster debug at the platform level including isolating failing components of a system.
• Creating debug strategies and plans for partners to rapidly triage failures to isolate specific components including PVT and marginality issues.
• Gen AI automation and enablement for automating the Debug flow.

Skills

RTL inspection

Gen AI for debugging automation

Platform bring-up and failure analysis

Debugging hardware issues

Debugging low-level software

Education

Bachelor's, Computer Engineering and/or Electrical Engineering Preferred

Master's degree in Science, Engineering, or related field

PhD in Science, Engineering, or related field

Tools

JTAG

Logic Analyzer

Oscilloscope

Signal Generator

Job description

Qualcomm Technologies, Inc. in San Diego, CA seeks a Senior SoC Debug Engineer to join the Silicon Validation team. You will bring up and debug embedded platforms, analyze failures across pre-Si and post-Si stages, and develop automation to accelerate debugging workflows.

Responsibilities include defining debug strategies for partners, isolating failing components such as PVT issues, and advancing AI-assisted debugging techniques to triage complex failures.