AI Hardware Architect

About the role

NVIDIA is seeking an AI Hardware Architect to lead the development of cutting-edge AI hardware. The ideal candidate will have a strong background in computer architecture, microarchitecture, and chip design.

Responsibilities

• Work on groundbreaking GPU and CPU systems
• Understand systems across a range of disciplines and identify areas for improvement
• Study applications and models running on Nvidia hardware and their architectural implications
• Develop microarchitectural solutions for connectivity, coherency, power management, security, memory management, and other SOC level issues
• Collaborate 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 optimize microarchitectural structures

Requirements

• 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 Large Language Models (LLMs)

Qualifications

• Publishations or other evidence of original chip/system architecture work is a plus

Benefits

• Base salary range: $184,000 - $287,500 USD
• Eligibility for equity and benefits

Schedule

• Applications accepted until July 17, 2026

Pay

• Base salary determined based on location, experience, and comparable positions