Senior ASIC Verification Engineer

Reposted 3 Days Ago
Be an Early Applicant
3 Locations
In-Office
136K-265K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Responsible for verifying ASIC designs, developing verification infrastructure, collaborating with teams, and planning verification strategies for projects.
Summary Generated by Built In

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

  • 5+ 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 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 30, 2025.NVIDIA is committed to fostering a diverse 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.

Top Skills

C
C++
Debussy
Gdb
Ies
Perl
Python
Systemverilog
Uvm
Vcs
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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