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 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.
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.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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.”
