GPU ASIC Verification Engineer — High-Impact, Next‑Gen Compute

NVIDIA; Durham (NC); On-site; USD 136,000 - 265,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking elite ASIC Verification Engineers to verify the design and implementation of world-class GPUs and SoCs. You will join a global team building high-performance processor elements for compute and graphics, including AI and autonomous driving initiatives.

You will verify ASIC design, architecture, golden models and micro-architecture using advanced verification methodologies such as UVM, and collaborate across teams to ensure verification completeness and quality.

Qualifications

• Bachelor's degree in EE, CS or CE or equivalent experience.
• 2+ years of relevant experience.
• Experience in verification using random stimulus with functional coverage and assertion-based verification methodologies.
• Background with design and verification tools (VCS or equivalent simulation tools, Verdi, GDB).
• Experience crafting test bench environments for unit and system level verification.
• Strong background in SystemVerilog or similar HVL.
• Expertise with C/C++ programming language.

Responsibilities

• Verify the design and implementation of GPUs and leading SoCs.
• Verify ASIC design, architecture, golden models and micro-architecture using UVM.
• Define verification scope, develop verification infrastructure and ensure design correctness.
• Collaborate with architects, designers, and other verification teams to complete tasks.

Skills

SystemVerilog

C/C++

UVM

Testbench

Verdi

GDB

Education

Bachelor's degree in EE/CS/CE

Tools

VCS

Verdi

GDB

Testbench

Job description

NVIDIA is seeking elite ASIC Verification Engineers to verify the design and implementation of world-class GPUs and SoCs. You will join a global team building high-performance processor elements for compute and graphics, including AI and autonomous driving initiatives.

You will verify ASIC design, architecture, golden models and micro-architecture using advanced verification methodologies such as UVM, and collaborate across teams to ensure verification completeness and quality.