AI Hardware Architect

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA +1

NVIDIA is seeking an AI Hardware Architect to design next-generation AI hardware, focusing on GPUs and CPUs. The role involves analyzing AI applications and models, developing microarchitectural solutions for various system-level issues, and optimizing performance and power. This position requires deep knowledge of computer architecture, microarchitecture, and chip design, with a good understanding of LLMs.

What you'd actually do

  1. Work on groundbreaking GPU and CPU systems. Understand them across a range of disciplines and identify areas for improvement.
  2. Study the applications and models running on Nvidia hardware and their architectural implications
  3. Come up with microarchitectural solutions for connectivity, coherency, power management, security, memory management and other SOC level issues.
  4. Understand and help drive implementation of bus protocols, networking protocols, memory access and security solutions across a range of products.
  5. Work with software, firmware, platform and multi-functional teams on system architecture.

Skills

Required

  • 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 LLMs

Nice to have

  • Publications or other evidence of original chip/system architecture work

What the JD emphasized

  • AI hardware
  • AI chips
  • AI infrastructure market
  • AI applications
  • AI tools