NVIDIA

NVIDIA

Posted via Workday

Senior ASIC Verification Engineer - GPU

Posted Oct 28, 2026

Role at a glance

Job function
Engineering & R&D Semiconductor & Display Engineering
Salary
$136K – $264.5K/yr
Location
Santa Clara, California, United States
Work arrangement
Hybrid
Employment
Full-time
Experience
Senior Level 5+ years of verification experience
Education
BS or MS in electrical engineering or computer engineering or similar area (or equivalent experience)

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Role Summary

AI-generated

This Senior ASIC Verification Engineer role involves unit level verification of the process scheduling and system interface hardware of the GPU. The role works across many NVIDIA teams, including software, architecture, design, and methodology.

What You'll Do

  • Work on a unit level testbench, including directed and random tests and test infrastructure, and contribute to the future direction of...
  • Partner closely with RTL and architecture teams to help refine microarchitecture plans so that design changes are verifiable
  • Architect and plan the verification strategy and execution for sub-system features impacting the unit
  • Support post-silicon validation activities
  • Use AI tools to accelerate testbench development, task automation, debugging and problem-solving

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

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Qualifications

A BS or MS in electrical or computer engineering or a similar area (or equivalent experience), 5+ years of verification experience, and SystemVerilog and verification methodology skills.

Required

  • BS or MS in electrical engineering or computer engineering or similar area (or equivalent experience)
  • 5+ years of verification experience
  • Exposure to Computer Architecture, ASIC design and verification methodology
  • Strong ability with SystemVerilog, test planning, coverage closure, and test bench design
  • Understanding of object oriented programming concepts
  • Strong communication skills
  • Ability and desire to work as a great teammate
  • Good debugging and problem solving skills

Preferred

  • Experience with assertion-based verification, Semiformal Verification (SFV), Unified Verification Methodology (UVM), SystemVerilog...
  • Perl or Python knowledge
  • Experience with multiple verification methodologies
  • Leadership experience

Original job description

Content provided by the employer

NVIDIA is seeking best-in-class ASIC Verification Engineers to verify the world’s leading GPUs. In this role, you will be doing unit level verification of the process scheduling and system interface hardware of the GPU. This position will be working across many NVIDIA teams from software, to architecture, design, methodology, and more. The GPU is used in applications from consumer graphics, through self-driving cars, to artificial intelligence, all of which you will be involved in and learn about. We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the methodology for verifying the future of computing.

What you’ll be doing:

  • Work on a unit level testbench, working on directed and random tests and test infrastructure, and contributing to the future direction of the methodology for the testbench

  • Partner closely with RTL and architecture teams to help refine the microarchitecture plans to ensure that changes to the design are verifiable

  • Architect and plan the verification strategy and execution for sub-system features impacting your unit

  • Support post-silicon validation activities

  • Harness cutting-edge AI to accelerate testbench development, task automation, debugging and problem-solving in a paradigm-shifting way

What we need to see:

  • BS or MS in electrical engineering or computer engineering or similar area (or equivalent experience)

  • 5+ years of verification experience

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

  • Strong ability with SystemVerilog, test planning, coverage closure, and test bench design

  • Understanding of object oriented programming concepts

  • Strong communication skills.

  • Ability and desire to work as a great teammate

  • Good debugging and problem solving skills

Ways to stand out from the crowd:

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

  • Perl or Python knowledge

  • Experience with multiple verification methodologies

  • Leadership experience

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. Do you want to work at the boundary of software, hardware, and forefront of technology? Would you love the challenge of creating the highest performance chips in the industry? If so, we want to hear from you

#LI-Hybrid

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 - 218,500 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 October 31, 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.