What you’ll be doing:
As a member of the architecture team, you will be responsible for understanding how the GPU sub-system modules interoperate and interact with overall system
You will architect and plan features in concert with software, hardware, and verification teams across the globe to implement the next iteration of GPUs
Create functional and performance models, often in C++, along with test plans to validate the features you design
Actively support post-silicon validation activities
Constantly learning and growing!
What we need to see:
BS or MS in compute architecture, Computer Science, or Electrical Engineering (or related degree) or equivalent experience
Course work or industry experience in Computer Architecture, Operation systems, and/or system architecture
Ways to stand out from the crowd:
Knowledge of Advanced interconnects (PCIe, AXI, nvlink, or similar)
Experience with scripting languages such as Perl
Understanding of modern security constructs and/or encryption
Knowledge of RiscV architecture and microcode development
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you creative and autonomous? Do you love the challenge of creating the highest performance chips in the industry? If so, 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
- Bachelor’s or master’s degree in computer architecture, computer science, electrical engineering, a related field, or equivalent experience
- Coursework or industry experience in computer architecture, operating systems, and/or system architecture
- Knowledge of advanced interconnects such as PCIe, AXI, NVLink, or similar
- Experience with scripting languages such as Perl
- Understanding of modern security constructs and/or encryption
- Knowledge of RISC-V architecture and microcode development
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 — 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.
-
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.
-
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.”
