Silicon Validation Engineer: AI-Driven System-Level Debug

NVIDIA; United States; Hybrid; USD 116,000 - 219,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Silicon Co-design Group seeks a versatile engineer to shape validation strategies across architecture, silicon bring-up, and production. You will define how validation is done for chips that don’t exist yet, building automation, telemetry, and AI-assisted tooling that improve coverage and efficiency.

The role spans validation strategy, data-driven workflows, and cross‑functional collaboration to ship GPUs and AI accelerators on time with quality. Hybrid work and equity are offered.

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 or curiosity around data-driven workflows, telemetry, and AI/LLM-assisted development.
• Thrive in a collaborative environment.

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.

Skills

Silicon bring-up

ASIC validation

System-level debugging

PVT, timing (STA)

High-speed IO (PCIe)

Firmware/driver interaction

Data-driven validation

Education

BS/MS in EE/CE (or equivalent)

Job description

NVIDIA Silicon Co-design Group seeks a versatile engineer to shape validation strategies across architecture, silicon bring-up, and production. You will define how validation is done for chips that don’t exist yet, building automation, telemetry, and AI-assisted tooling that improve coverage and efficiency.

The role spans validation strategy, data-driven workflows, and cross‑functional collaboration to ship GPUs and AI accelerators on time with quality. Hybrid work and equity are offered.