Senior System Integration and Validation Engineer
NVIDIA· Engineer, ASIC
Bengaluru, India$0Full-timePosted 1mo ago
About the role
Senior Engineer to lead system validation, debug, and cross-functional alignment on a flagship silicon program within NVIDIA's Silicon Co-Design Group. Focuses on end-to-end system validation, cross-stack debugging, and AI-enabled validation workflows to improve cycle time and reduce escapes through left-shifted validation and reusable methodologies.
Responsibilities
- Own end-to-end system validation of NVIDIA GPU, SoC, and platform programs — feature checks, PVT stress, system-stress campaigns at scale, and multi-unit fleet testing.
- Lead debug of the hardest cross-stack issues — logic, signal integrity, power delivery, firmware, and software interaction — and drive them to root cause with reusable workarounds and productized fixes.
- Develop test plans, scripts, and automation for next-generation chips ahead of physical builds, translating architecture, boot flows, high-speed I/O, and power and thermal dependencies into executable coverage.
- Design and deploy AI-enabled debug and validation workflows used by the team — with explicit guardrails (evals, regression validation, false-positive handling) and measurable impact on cycle time, debug velocity, or escape rate.
- Translate complex silicon and system risk into decision-ready options for technical and executive audiences — without padding or hand-waving.
- Partner with globally distributed teams across silicon design, DFT, firmware, software, manufacturing, and platform engineering — including counterpart engineers in India and other major hubs.
- Lead crisis-mode debug task forces when a program is stuck, and convert the learnings into reusable methodology for adjacent programs.
- Find critical silicon and platform issues before they reach the customer — by shifting validation coverage left with system stress, PVT, and feature-interaction tests that catch escapes before software hardens.
- Build AI-enabled validation as a real capability, not a demo — by deploying debug, triage, root-cause hypothesis generation, and regression workflows with the evals and guardrails that make them trustworthy enough to gate production decisions.
Qualifications
- BTech/BE or MTech/ME in Electronics, Electrical, or Computer Engineering (or equivalent experience), and 6+ years of post-silicon validation, system integration, or platform debug experience on shipped GPU, CPU, or SoC products.
- Hands-on debug depth across silicon, board, and software boundaries — logic design, signal integrity, power delivery, high-speed I/O, and PVT behavior — with strong EE fundamentals across SI/PI, power delivery, and thermal, and a working understanding of GPU, CPU, or SoC architecture across PC, Datacenter, or Automotive.
- At least one specific example of taking an ambiguous, multi-team failure to root-cause closure with a productized fix, and a track record of leading a project team end-to-end through a real crisis with decision points you owned.
- Demonstrated AI-driven validation workflow you built or scaled, not just used — with adoption beyond yourself and measurable impact on debug velocity, coverage, or escape rate. You can describe the guardrails you put in place and where AI is dangerous in your workflow.
Skills
Required:End-to-end system validationCross-stack debuggingAutomation and test planningAI-enabled validation workflows
Benefits
- Competitive benefits
- Flexible time off
- Continuous learning
Last updated Sep 11, 2026. Interested? Apply on the company site.
About NVIDIA
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