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Tier-1 brand and metro Bangalore presence increase applicant density, but role's hardware specialization limits mass interest.
Silicon-focused validation and cross-stack debug require niche skills, making background fit highly sensitive.
Explicit 8–12 years, degree, and mandatory hands-on hardware debug plus AI-validation proofs increase strictness.
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Lead end-to-end system validation and debug for NVIDIA GPU, SoC, and platform programs, focusing on feature checks, stress tests, and multi-unit fleet testing.
Drive root-cause analysis and resolution of complex cross-stack issues involving logic, signal integrity, power delivery, firmware, and software interactions.
Develop and deploy AI-enabled validation workflows with measurable impact on debug velocity, escape rate, and production gating decisions.
BTech/BE or MTech/ME in Electronics, Electrical, or Computer Engineering or equivalent experience.
8 to 12 years of post-silicon validation, system integration, or platform debug experience on shipped GPU, CPU, or SoC products.
Hands-on expertise in debug across silicon, board, and software boundaries including logic design, signal integrity, power delivery, high-speed I/O, and PVT behavior.
Demonstrated ability in AI-driven validation workflows that have achieved team-scale adoption with measurable impact; able to explain guardrails and risks.
Proven track record leading crisis-mode debug task forces with ownership of key decisions and delivery of productized fixes.
Experience building reusable validation methodologies, debug playbooks, or test frameworks adopted by multiple programs or teams.
Experience collaborating deeply with counterpart engineering teams in India or other global hubs, including shared metrics and on-call responsibilities.