AI Hardware Architect
NVIDIA
full-time
Posted on:
Location Type: Office
Location: Santa Clara • California • Texas • United States
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Salary
💰 $184,000 - $287,500 per year
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)
- 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.
- Publications or other evidence of original chip/system architecture work is a plus.
Benefits
- equity
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Hard Skills & Tools
GPU systemsCPU systemsmicroarchitectural structuresbus protocolsnetworking protocolsmemory accesssecurity solutionsperformance analysisalgorithmic thinkingLLMs
Soft Skills
interpersonal skillscommunication skillsteamwork skillscontinuous learningproblem-solving
Certifications
Master's Degree in Computer EngineeringMaster's Degree in Electrical Engineering