AI Hardware Architect

NVIDIA•Austin, TX

1d•$184,000 - $356,500

About The Position

NVIDIA is hiring an AI Hardware Architect to analyze and architect next-generation artificial intelligence hardware, including chips and chiplets for the growing AI infrastructure market. The role focuses on groundbreaking GPU and CPU systems and draws on expertise in computer architecture, microarchitecture, and chip design. The architect studies applications and models running on NVIDIA hardware and their architectural implications, develops system-on-chip microarchitectural solutions, and helps implement protocols and solutions across products. The role also involves collaborating with software, firmware, platform, and cross-functional teams; modeling and explaining performance and power advantages; and helping customers and firmware engineers maximize performance from microarchitectural structures.

Requirements

Master's degree in Computer Engineering or Electrical Engineering, or equivalent experience.
At least 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.
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 or system architecture work.

Responsibilities

Analyze and architect next-generation artificial intelligence hardware, including chips and chiplets.
Work on GPU and CPU systems across disciplines and identify areas for improvement.
Study applications and models running on NVIDIA hardware and assess their architectural implications.
Develop microarchitectural solutions for connectivity, coherency, power management, security, memory management, and other system-on-chip issues.
Understand and help drive implementation of bus protocols, networking protocols, memory access, and security solutions across products.
Collaborate with software, firmware, platform, and multifunctional teams on system architecture.
Model, analyze, and explain the performance and power advantages of NVIDIA solutions.
Guide customers and firmware engineers in extracting the most performance from microarchitectural structures.