Overview
Senior System Integration and Validation Engineer leading end-to-end system validation, debug, and cross-functional alignment for NVIDIA GPU/SoC/platform programs.
What you'll do
- Own end-to-end system validation including feature checks, PVT, system-stress campaigns, and multi-unit fleet testing.
- Lead debug of cross-stack issues and drive root cause with reusable workarounds and productized fixes.
- Develop test plans, scripts, and automation for next-generation chips before physical builds.
- Design and deploy AI-enabled debug and validation workflows with guardrails and measurable impact.
- Translate silicon/system risk into decision-ready options for technical and executive audiences.
- Partner with globally distributed teams across design, firmware, software, manufacturing, and platform engineering.
- Lead crisis-mode debug task forces and shift validation coverage left to catch escapes earlier.
What you'll need
- 6+ years of post-silicon validation, system integration, or platform debug experience on shipped GPU/CPU/SoC products.
- BTech/BE or MTech/ME in Electronics, Electrical, or Computer Engineering (or equivalent experience).
- Hands-on debug depth across silicon, board, and software boundaries including logic, signal integrity, power delivery, high-speed I/O, and PVT behavior.
- Strong EE fundamentals across SI/PI, power delivery, and thermal, plus working understanding of GPU/CPU/SoC architecture.
- At least one example of taking an ambiguous multi-team failure to root-cause closure with a productized fix.
- Experience leading a project team end-to-end through a real crisis with decision points owned.
- Demonstrated AI-driven validation workflow built or scaled with adoption beyond yourself and measurable impact.
Nice to have
- History of building reusable validation methodology, debug playbooks, or test frameworks adopted by other programs/teams.
- Hands-on subsystem depth in HBM, SerDes/high-speed I/O, power/thermal, or advanced packaging.
- Experience partnering with counterparts in India or another major engineering hub.
- AI work beyond personal-copilot use (agentic workflows, RAG-grounded debug assistants, regression bucketing, automated triage) with team-scope adoption metrics.
Details
- Location: Bengaluru, India.
- Work mode indicated as hybrid (tagged “#LI-Hybrid”).
Read the full description and apply on the company’s own careers page.
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