NVIDIA

NVIDIA

Posted via Workday

Senior ASIC Verification Engineer

Posted Aug 5, 2026

Role at a glance

Salary
Not Disclosed
Location
2 Locations, Texas, United States
Work arrangement
Hybrid
Employment
Full-time
Experience
5+ years of experience
Education
Bachelors or Masters in Computer Science, Computer Engineering, Electrical Engineering or closely related degree (or equivalent experience)

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Role Summary

AI-generated

The Senior ASIC Verification Engineer verifies SoC and GPU designs, including their architecture and micro-architecture. The role focuses on memory subsystem verification and hardware/firmware interactions, working with architects, designers, and software engineers across sites.

What You'll Do

  • Verify design, architecture, and micro-architecture using advanced verification methodologies.
  • Define verification scope and contribute to verification infrastructure for memory subsystem units.
  • Verify firmware code, with attention to hardware/firmware interactions.
  • Collaborate with architects, designers, and software engineers across sites.

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

View full posting

Qualifications

Requires a bachelor's or master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field (or equivalent experience), and 5+ years of experience. Required skills include verification methodology and reusable verification components; random-stimulus, functional-coverage, and assertion-based verification; object-oriented SystemVerilog; and exposure to VCS or equivalent simulation tools, debug tools such as Debussy or GDB, and UVM or equivalent. Strong debugging, problem-solving, and communication skills are also required.

Required

  • Ways to stand out from the crowd: Prior verification experience related to high speed IO protocols, or memory coherence is a big plus
  • Experience debugging embedded firmware code (C or RISCV Assembly)
  • Knowledgeable in embedded microcontrollers and/or RISCV Architecture
  • Experience writing verification plans
  • Strong verification mindset and intuition

Original job description

Content provided by the employer

NVIDIA is seeking an outstanding Senior ASIC Verification Engineer to verify the design and implementation of the world’s leading SoC's and GPU's. 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 extraordinary 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 Verification Engineer at NVIDIA, you will be responsible for verifying the design, architecture and micro-architecture using advanced verification methodologies

  • Define the verification scope, and contribute to the development of the verification infrastructure for memory subsystem units

  • Verify firmware code, with specific attention on verifying hardware/firmware interactions

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

What we need to see:

  • Bachelors or Masters in Computer Science, Computer Engineering, Electrical Engineering or closely related degree (or equivalent experience)

  • 5+ years of experience

  • Experience with verification methodology, creating reusable verification components

  • Knowledgeable in verification using random stimulus along with functional coverage and assertion-based verification methodologies

  • Fluency in Object Oriented Programming with SystemVerilog

  • Exposure to design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB), and methodologies (UVM or equivalent)

  • Your work displays a passion for debugging and strong problem solving skills

  • Strong communication skills are required

Ways to stand out from the crowd:

  • Prior verification experience related to high speed IO protocols, or memory coherence is a big plus

  • Experience debugging embedded firmware code (C or RISCV Assembly)

  • Knowledgeable in embedded microcontrollers and/or RISCV Architecture

  • Experience writing verification plans

  • Strong verification mindset and intuition

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working with 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 team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field!

#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 September 13, 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.