Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is seeking best-in-class ASIC Verification Engineers to verify the design and implementation of the world’s leading inference accelerator. This position offers the opportunity to have 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 around the globe. Their mission is to push the frontiers of what is possible today and define the platform for the future of computing. In this position, you will help to build the high-performance processor elements that implement programmable compute and graphics functionality. What you'll be doing: • As a key member of our ASIC Verification team, you will verify the design and implementation of inference accelerator • You will be responsible for verification of the ASIC design, architecture, reference models and micro-architecture using advanced verification methodologies • Understand the design and implementation of your unit, define the verification scope, develop the verification infrastructure and verify the correctness of the design • Collaborate with architects, designers, and pre and post silicon verification teams to accomplish your tasks • Implement and optimize automated verification flows to improve productivity and efficiency • Stay updated on the latest trends and advancements in ASIC design verification and incorporate innovative techniques into the verification process What we need to see: • Bachelors Degree in EE, CS or CE (or equivalent experience) and 8+ years of relevant industry experience • Background with building block and SoC level testbench utilizing strong debugging and analytical skills • Experience in verification using random stimulus along with functional coverage, assertion-based verification methodologies and tools • Expertise in SystemVerilog and Universal Verification Methodology (UVM) • Experience with design and verification tools (VCS, Verdi or equivalent) • Background in UPF power verification is a plus • Experience in netlist and DFT verification is a plus • Perl/Python and C/C++ programming language experience desirable • Knowledge of ASIC design flow, from specification to GDS • Knowledge of applying machine learning to ASIC verification flow With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant people in the world working for us and, due to unprecedented growth, our teams are rapidly growing. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? 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 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 26, 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.

Requirements

Must-haves

As a key member of our ASIC Verification team, you will verify the design and implementation of inference accelerator
You will be responsible for verification of the ASIC design, architecture, reference models and micro-architecture using advanced verification methodologies
Understand the design and implementation of your unit, define the verification scope, develop the verification infrastructure and verify the correctness of the design
Collaborate with architects, designers, and pre and post silicon verification teams to accomplish your tasks
Implement and optimize automated verification flows to improve productivity and efficiency
Stay updated on the latest trends and advancements in ASIC design verification and incorporate innovative techniques into the verification process
Bachelors Degree in EE, CS or CE (or equivalent experience) and 8+ years of relevant industry experience
Background with building block and SoC level testbench utilizing strong debugging and analytical skills
Experience in verification using random stimulus along with functional coverage, assertion-based verification methodologies and tools
Expertise in SystemVerilog and Universal Verification Methodology (UVM)
Experience with design and verification tools (VCS, Verdi or equivalent)
Perl/Python and C/C++ programming language experience desirable
Knowledge of ASIC design flow, from specification to GDS
Knowledge of applying machine learning to ASIC verification flow
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until September 26, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

Background in UPF power verification is a plus
Experience in netlist and DFT verification is a plus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonmachine learning

Platform: eightfold
Effort: medium

Benefits

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