NVIDIA

NVIDIA

Posted via Workday

Senior ASIC Verification Engineer

Posted Aug 28, 2026

Role at a glance

Salary
Not Disclosed
Location
4 Locations, North Carolina, United States
Work arrangement
On-site
Employment
Full-time
Experience
Senior Level 8+ years of relevant work or research experience
Education
You have Bachelors or Masters Degree in Electrical Engineering or Computer Science or Computer Engineering or equivalent experience

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Role Summary

AI-generated

The Senior ASIC Verification Engineer will verify GPU ASIC designs, with a focus on the Memory Management Unit. The role includes defining verification scope, building verification infrastructure, and collaborating across sites with architects, designers, and software engineers.

What You'll Do

  • Understand the Memory Management Unit design and implementation and define verification scope.
  • Develop verification infrastructure, including testbenches, BFMs, checkers, and monitors; implement test and coverage plans and verify...
  • Plan and work on the strategic direction of testbench methodology.

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

Required: Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or Computer Engineering, or equivalent experience; 8+ years of relevant work or research experience. Exposure to computer architecture, ASIC design, and verification methodology; ability with SystemVerilog, C and/or C++, test planning, coverage closure, and reusable verification components; knowledge of constrained-random testing with functional coverage, assertion-based verification, and object-oriented programming; exposure to VCS or IES simulation tools and Debussy or GDB debugging tools; strong interpersonal, debugging, and problem-solving skills.

Preferred

  • Understanding of memory subsystem micro-architecture, cache topologies and policies, memory management, interconnects, and/or arbiter...
  • Experience with Universal Verification Methodology (UVM), SystemVerilog checkers and scoreboards, assertion-based verification, and...
  • Perl or Python knowledge.

Original job description

Content provided by the employer

We are now looking for a Senior Verification Engineer for our Memory Management Unit.

NVIDIA is seeking outstanding ASIC Verification Engineer to verify the world’s leading GPUs. This position offers the opportunity to have a real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.

What you’ll be doing:

  • As a senior member of our verification team, you'll understand the design & implementation with focus on Memory Management unit, define the verification scope, develop the verification infrastructure (Testbenches, BFMs, Checkers, Monitors), implement test/coverage plans, and verify the correctness of the design.

  • Collaborate with architects, designers, software engineers across sites to accomplish your goals.

  • Plan and work on strategic direction of the methodology for the testbench with advance methodology.

What we need to see:

  • You have Bachelors or Masters Degree in Electrical Engineering or Computer Science or Computer Engineering or equivalent experience

  • 8+ years of relevant work or research experience

  • Exposure to Computer Architecture, ASIC design and verification methodology is required

  • Strong ability with SystemVerilog, C and/or C++, test planning, coverage closure, and creating reusable verification components.

  • Knowledgeable in constrained random testing with functional coverage and assertion-based verification.

  • Understanding of object oriented programming concepts.

  • Exposure to simulation tools like VCS, IES and debug tools like Debussy, GDB.

  • Strong interpersonal skills.

  • Good debugging and problem solving skills.

Ways to stand out from the crowd:

  • Understanding of memory subsystem micro-architecture, cache topologies and policies, memory management, interconnects, and/or arbiter designs is a huge plus.

  • Experience with Universal Verification Methodology (UVM), SystemVerilog checkers and scoreboards. Assertion-based verification, Semiformal Verification (SFV).

  • Perl or Python knowledge.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come join our GPU ASIC Verification team and help us build future architectures that will continue to drive us forward in the fields of High Performance Computing, Graphics and AI.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 6, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.