Senior System Validation & Debug Lead - Cross-Stack AI

NVIDIA Corporation; Hinoba-an; Hybrid; PHP 7,524,000 - 11,285,000; Full time

Benefits offered by this job

Competitive benefits

Flexible time off

Continuous learning

Job summary

NVIDIA’s Silicon Co-Design Group seeks a Senior Engineer to lead system validation, debug, and cross-functional alignment on a flagship silicon program. You will own end-to-end validation, drive root-cause fixes, and develop automated workflows to accelerate validation cycles.

You will partner with distributed teams across silicon design, firmware, software, and platform engineering, contributing to AI-enabled validation and scalable debug methodologies that reduce escapes before production.

Qualifications

• Bachelor’s/Master’s in Electronics, Electrical, or Computer Engineering or equivalent experience.
• 6+ years of post-silicon validation, system integration, or platform debugging on shipped GPU/SoC.
• Hands-on depth across silicon, board, and software boundaries with strong EE fundamentals.

Responsibilities

• Own end-to-end system validation of NVIDIA GPU, SoC, and platform programs with feature checks and stress campaigns.
• Lead debug of cross-stack issues and drive root-cause with fixes and workarounds.
• Develop test plans, scripts, and automation for next-gen chips ahead of physical builds.

Skills

System validation

Debug

Automation scripting

CPU/GPU/SoC architecture

PVT stress testing

Cross-functional leadership

AI-driven validation

Root cause analysis

Education

BTech/BE or MTech/ME in Electronics, Electrical, or Computer Engineering

Tools

Debug tools suite

Test automation frameworks

Job description

NVIDIA’s Silicon Co-Design Group seeks a Senior Engineer to lead system validation, debug, and cross-functional alignment on a flagship silicon program. You will own end-to-end validation, drive root-cause fixes, and develop automated workflows to accelerate validation cycles.

You will partner with distributed teams across silicon design, firmware, software, and platform engineering, contributing to AI-enabled validation and scalable debug methodologies that reduce escapes before production.