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

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

AI Hardware Architect

Key skills