AI Hardware Architect

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.
• What we need to see
• Master's Degree in Computer Engineering or Electrical Engineering (or equivalent experience)
• 8+ years of relevant industry experience.

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