NVIDIA

AI Hardware Architect

NVIDIA

full-time

Posted on:

Location Type: Hybrid

Location: Santa ClaraCaliforniaTexasUnited States

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Salary

💰 $224,000 - $431,250 per year

Job Level

About the role

  • 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

Requirements

  • 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.
Benefits
  • health insurance
  • retirement plans
  • paid time off
  • flexible work arrangements
  • professional development
  • bonuses
  • stock options
  • equipment allowances
  • wellness programs
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
GPU systemsCPU systemsmicroarchitectural structuresbus protocolsnetworking protocolsmemory accesssecurity solutionsperformance analysispower managementalgorithmic thinking
Soft Skills
interpersonal skillscommunication skillsteamwork skillscontinuous learningproblem-solving
Certifications
Master's Degree in Computer EngineeringMaster's Degree in Electrical Engineering