NVIDIA is hiring an AI Hardware Architect to analyze and architect the next generation of Artificial Intelligence hardware. We are looking for special individuals with a passion for delivering innovative products. Together, we will build life-changing AI chips and chiplets for the rapidly growing AI infrastructure market. If you have knowledge of computer architecture, microarchitecture, and chip design, and are looking to learn and grow, this is the opportunity you are looking for.
What you'll be doing:
Work on groundbreaking GPU and CPU systems. Understand them across a range of disciplines and identify areas for improvement.
Study the applications and models running on Nvidia hardware and their architectural implications
Come up with microarchitectural solutions for connectivity, coherency, power management, security, memory management and other SOC level issues.
Understand and help drive implementation of bus protocols, networking protocols, memory access and security solutions across a range of products.
Work with software, firmware, platform and multi-functional teams on system architecture.
Model, analyze, and explain the performance and power advantages of Nvidia solutions.
Guide customers and firmware engineers to extract the most performance from microarchitectural structures.
What we need to see:
Master's Degree in Computer Engineering or Electrical Engineering (or equivalent experience)
8+ years of relevant industry experience.
Experience building high performance microarchitectural structures. Experience with industry standard bus protocols.
Clear understanding of the performance, power and security implications of microarchitectural features.
Strong interpersonal, communication and teamwork skills.
A drive to continuously learn and expand architectural breadth and depth.
Excellent coding and algorithmic thinking skills. Good understanding of LLMs.
Publications or other evidence of original chip/system architecture work is a plus.
Join the future of chip building, you will contribute to innovative products with a dedicated team!
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 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.Skills Required
- Master's Degree in Computer Engineering or Electrical Engineering or equivalent experience
- 8+ years of relevant industry experience
- Experience building high performance microarchitectural structures
- Experience with industry standard bus protocols
- Clear understanding of the performance, power and security implications of microarchitectural features
- Excellent coding and algorithmic thinking skills
- Good understanding of LLMs
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.”
.jpg)
