Senior ASIC Design Engineer - GPU

Reposted 23 Hours Ago
Be an Early Applicant
3 Locations
Hybrid
136K-265K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and micro-architect a high-performance MMU for GPUs; develop and apply advanced verification methodologies; make architecture decisions; mentor engineers; collaborate with architects, designers, and software engineers across sites.
Summary Generated by Built In

We are now looking for a Senior ASIC Engineer! NVIDIA is searching for an outstanding ASIC Engineer to build and implement an MMU for the world’s top SoCs and GPUs. This position provides an opportunity to influence a dynamic technology company’s products, from consumer graphics to autonomous vehicles. Positioned at the leading edge of artificial intelligence and deep learning, NVIDIA drives innovation in modern computing. Our team of remarkable professionals works worldwide, aiming to push the boundaries of today’s possibilities and shape the future computing platform.

As a member of the MMU team, you will contribute to the development and implementation of a state-of-the-art memory management system with complex build requirements. Our approach delivers the performance required by autonomous vehicles, photo-realistic games and applications, as well as the world’s leading supercomputers!

What you’ll be doing:

  • As a Senior Design Engineer at NVIDIA, you will be responsible for the development and micro-architecture of a high-performance MMU for a GPU using advanced verification methodologies.

  • Contribute to architecture decisions.

  • Mentor other engineers on the team.

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

What we need to see:

  • Bachelors or Masters Degree in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience.

  • 5+ years of relevant work or research experience.

  • Experience crafting memory subsystem units with properties such as memory coherency and arbitration policies.

  • Proficiency in Verilog, build and verification tools (VCS or equivalent simulation tools, debug tools like Verdi, Synopsys).

  • A solid understanding of Object-Oriented Programming with C++ and/or SystemVerilog.

  • Strong communication skills are required.

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 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 other objective job-related factors. The expected base salary ranges for this position are:
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 November 3, 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.

Skills Required

  • Bachelors or Masters Degree in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience.
  • 5+ years of relevant work or research experience.
  • Experience crafting memory subsystem units with properties such as memory coherency and arbitration policies.
  • Proficiency in Verilog, build and verification tools (VCS or equivalent simulation tools), debug tools like Verdi, Synopsys.
  • A solid understanding of Object-Oriented Programming with C++ and/or SystemVerilog.
  • Strong communication skills.

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
  • Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
  • Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.

NVIDIA Insights

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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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