Senior System Integration and Validation Engineer

NVIDIA
Bengaluru
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsEducation: mastersSkills: ["Cross-functional alignment","Root-cause analysis","Debugging","Test planning","Decision communication"]

Lead end-to-end system validation for NVIDIA GPU, SoC, and platform programs, owning feature checks, PVT stress, and large-scale system-stress and fleet testing. Drive root-cause debugging across logic, signal integrity, power delivery, firmware, and software interactions, and develop test plans, scripts, and automation ahead of physical builds. Build AI-enabled validation workflows with guardrails to improve debug velocity and escape-rate, and translate risks into decision-ready options.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Senior System Integration and Validation Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

Lead end-to-end system validation for NVIDIA GPU, SoC, and platform programs, owning feature checks, PVT stress, and large-scale system-stress and fleet testing. Drive root-cause debugging across logic, signal integrity, power delivery, firmware, and software interactions, and develop test plans, scripts, and automation ahead of physical builds. Build AI-enabled validation workflows with guardrails to improve debug velocity and escape-rate, and translate risks into decision-ready options.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Own end-to-end system validation across NVIDIA GPU, SoC, and platform programs including feature checks, PVT stress, and large-scale system-stress and multi-unit fleet testing.
  • •Lead debug of the hardest cross-stack issues across logic, signal integrity, power delivery, firmware, and software interactions to reach root cause.
  • •Develop test plans, scripts, and automation for next-generation chips by translating architecture, boot flows, and power/thermal dependencies into executable coverage.
  • •Design and deploy AI-enabled debug and validation workflows with guardrails (evals, regression validation, false-positive handling) to improve cycle time, debug velocity, or escape rate.
  • •Partner with distributed teams (including counterpart engineers in India) and lead crisis-mode debug task forces when programs get stuck.

Key Requirements

  • •BTech/BE or MTech/ME in Electronics, Electrical, or Computer Engineering (or equivalent), plus 6+ years of post-silicon validation, system integration, or platform debug experience on shipped GPU, CPU, or SoC products.
  • •Deep hands-on debug across silicon, board, and software boundaries (logic, signal integrity, power delivery, high-speed I/O, PVT behavior) with strong EE fundamentals.
  • •Ability to take ambiguous, multi-team failures through root-cause closure to a productized fix.
  • •Demonstrated AI-driven validation workflow you built or scaled with measurable impact (debug velocity, coverage, or escape rate) and guardrails to manage false positives.
  • •Track record of leading end-to-end crisis-mode debug through decision points you owned.
Experience:6+ yearsSilicon validationSystem integrationPlatform debugGPUSoCCPUDatacenterAutomotiveEmbedded
Education:Master's in Electronics, Electrical, or Computer Engineering
Skills:Cross-functional alignmentRoot-cause analysisDebuggingTest planningDecision communication
Tech Stack:NVIDIA GPUSoCCPUFirmwarePVTSystem-stress campaignsFleet testingHigh-speed I/OSignal integrityPower deliveryPower and thermalHBMSerDesDFTAI-enabled workflowsRegression validationAutomationEvals

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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