AI Hardware Architect

NVIDIA•Austin, CA

About The Position

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.

Requirements

Master's Degree in Computer Engineering or Electrical Engineering (or equivalent experience)
12 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.

Nice To Haves

Publications or other evidence of original chip/system architecture work is a plus.

Responsibilities

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.