Senior ASIC Verification Engineer - GPU

Posted 16 Hours Ago
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Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
As a Senior ASIC Verification Engineer at NVIDIA, you will be responsible for verifying the design and implementation of high-performance GPUs using advanced verification methodologies like UVM. You will collaborate with architects and handle verification infrastructure while showcasing strong debugging and analytical skills.
Summary Generated by Built In

NVIDIA is seeking elite ASIC Verification Engineers to verify the design and implementation of the world’s leading SoC's and GPU's. 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 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.

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 the industry's leading GPUs

  • You will be responsible for verification of the ASIC design, architecture, golden models and micro-architecture using advanced verification methodologies such as UVM

  • 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

What we need to see:

  • Bachelors Degree in EE, CS or CE or equivalent experience

  • 5+ years of relevant experience

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

  • Experience with design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB)

  • Expertise in System Verilog or similar HVL

  • You display strong debugging and analytical skills

  • Perl and C/C++ programming language experience desirable

  • Prior experience with arbiters, interconnect networks and/or caches is desirable

  • Strong communication skills and ability & desire to work as a great teammate are huge plus

  • Experience in crafting test bench environments for unit and system level verification

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 a creative and autonomous engineer who loves a challenge? Come join our GPU ASIC Verification team and help us build future architectures that will continue to drive us forward in the fields of computing, graphics and AI.

#LI-Hybrid

The base salary range is 128,000 USD - 304,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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++
Perl
System Verilog
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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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