Senior ASIC Verification Engineer

Job Title

Senior ASIC Verification Engineer

Role Summary

Senior verification engineer responsible for verification of the Memory Management Unit (MMU) within NVIDIA GPU ASICs. Work on functional verification, verification infrastructure, test plans, and collaborate with architects, designers and software engineers across sites.

This role contributes to high-performance GPU architectures used across graphics, HPC and AI domains.

Experience Level

Senior level. The posting indicates 5+ years of relevant work or research experience.

Responsibilities

Core responsibilities include defining verification scope, building infrastructure, and ensuring correctness of the MMU design.

• Define verification scope for Memory Management Unit features and interfaces.
• Design and develop verification infrastructure: testbenches, BFMs, checkers, monitors.
• Implement test plans and coverage closure strategies; analyze coverage and debug failures.
• Develop reusable verification components and advance testbench methodology.
• Collaborate with architects, RTL designers and software engineers across sites to resolve issues and validate design intent.
• Drive strategic direction of verification methodology and tooling for the team.

Requirements

Must-have technical skills and experience.

• 5+ years of relevant ASIC verification experience (as stated in the posting).
• Strong SystemVerilog skills and experience creating verification components.
• Proficient in C and/or C++ for verification tasks and test development.
• Experience with constrained-random testing, functional coverage and assertion-based verification.
• Familiarity with ASIC design and verification methodology and computer architecture concepts.
• Experience with simulators and debug tools such as VCS, IES, Debussy and GDB.
• Good debugging, problem solving and interpersonal communication skills.

Nice-to-have:

• Knowledge of memory subsystem micro-architecture, cache topologies, memory management, interconnects or arbiters.
• Experience with UVM, scoreboards, semiformal verification and assertion-based methodologies.
• Scripting skills (Perl or Python).

Education Requirements

Bachelor's or Master's degree in Electrical Engineering, Computer Science, Computer Engineering, or a related technical field — or equivalent practical experience.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.