Silicon Validation Engineer - AI-Driven, Hybrid Role

NVIDIA Corporation; Santa Clara, Northern (CA, KY); Hybrid; USD 116,000 - 219,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Santa Clara is seeking a Silicon Validation Engineer to define validation strategies across complex architectures, from early design to silicon bring-up and production. This role sits at the intersection of architecture, silicon bring-up, and production, shaping how validation is performed for next-generation GPUs and AI accelerators.

You will design system-level validation, build AI-assisted workflows, profile workloads, and deploy scalable telemetry pipelines across

Qualifications

• BS/MS in EE/CE (or equivalent experience)
• 2+ years in silicon bring-up, ASIC validation, or system-level debug
• Grounding in PVT, timing (STA), signal integrity, power, and high-speed IO (PCIe, chip-to-chip)
• Understanding of firmware/driver-hardware interaction
• Experience with data-driven workflows, telemetry, and AI/LLM-assisted development

Responsibilities

• Design system-level validation strategies for complex architectures, corner cases, PVT, large-scale behavior, feature interactions
• Build AI-assisted and data-driven validation workflows that improve coverage, debug turnaround, and efficiency
• Profile real workloads: training, inference, HPC, video, and emerging applications
• Deploy automation and telemetry pipelines that scale across products and teams
• Drive silicon bring-up and root-cause debug with reusable, high-leverage methods

Job description

NVIDIA Corporation in Santa Clara is seeking a Silicon Validation Engineer to define validation strategies across complex architectures, from early design to silicon bring-up and production. This role sits at the intersection of architecture, silicon bring-up, and production, shaping how validation is performed for next-generation GPUs and AI accelerators.

You will design system-level validation, build AI-assisted workflows, profile workloads, and deploy scalable telemetry pipelines across