Today, NVIDIA is 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, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.
NVIDIA is looking for an ASIC Design Engineer - New College Grad 2026 to join our Memory Subsystem Team!
What you'll be doing:
As a member of our Memory Subsystem Design team, you will collaborate with architects/design verification/formal verification/physical design team to deliver a world-class solution. NVIDIA SOC Interconnects, ordering controllers and memory accelerators are among the industry's most sophisticated because of the complex area, latency, power, bandwidth and quality-of-service requirements.
In this position, you will have the opportunity to be responsible for the micro-architecture and design including RTL design, synthesis and timing analysis using innovative CAD tools and using the latest process technologies.
What we need to see:
Currently pursuing or recently completed a BS or MS in Electrical Engineering or Computer Engineer or related degree (or equivalent experience).
Exposure to high-speed coherent interconnects, protocol bridges, hardware-managed coherency and system level caches is a plus
Experience with multiple clock domains and asynchronous interfaces is a plus
Knowledge of industry specifications like CHI/CXL/PCI-E is a plus.
Strong proficiency of Verilog or VHDL.
Scripting language like PERL
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. If you're creative and autonomous, we want to hear from you!
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
- Currently pursuing or recently completed a BS or MS in Electrical Engineering, Computer Engineering, or a related degree, or equivalent experience
- Strong proficiency in Verilog or VHDL
- Knowledge of or experience with a scripting language such as Perl
- Exposure to high-speed coherent interconnects
- Experience with protocol bridges, hardware-managed coherency, and system-level caches
- Experience with multiple clock domains and asynchronous interfaces
- Knowledge of CHI, CXL, or PCIe industry specifications
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.”
