NVIDIA
Technology
HardwareArchitect-NVLinkFusion
Neural analysis suggests this role is
optimal for Senior candidates.
“Hardware Architect - NVLink Fusion at NVIDIA. Skills: NVLink Fusion, Computer architecture. Analyze AI scale up hardware. Architect AI scale up hardware”
Industry & Context.
Algorithmic thinking
What They're Looking For.
Must Have
Master's Degree in Computer Engineering or Electrical Engineering, 12+ years of relevant experience, Industry experience building high performance connectivity architectures, Experience with standard networking and bus protocols, Clear understanding of hardware-software codesign, Interpersonal skills, Communication skills, Teamwork skills, Drive to continuously learn, Expand architectural breadth and depth, Excellent coding skills, Algorithmic thinking skills
Nice to Have
Good understanding of LLMs, Publications or evidence of original chip/system architecture work
What You'll Do.
Analyze AI scale up hardware
Architect AI scale up hardware
Build holistic solutions
Study applications and models
Understand architectural implications
Develop system level solutions
Drive implementation of bus protocols
Drive implementation of networking protocols
Drive implementation of memory access solutions
Drive implementation of security solutions
Work with software teams
Work with firmware teams
Work with platform teams
Work with multi-functional teams
Model performance advantages
Analyze performance advantages
Explain performance advantages
Model power advantages
Analyze power advantages
Explain power advantages
Guide firmware engineers
Extract performance from hardware
How You'll Work.
Team & Collaboration
Software teams; Firmware teams; Platform teams; Multi-functional teams
Communication Scope
Interpersonal; Communication; Teamwork
Full Job Description
NVIDIA is hiring a Hardware Architect to analyze and architect the next generation of NVLink Fusion AI scale up hardware. We are looking for special individuals with a passion for delivering innovative products. Together, we will build life-changing datacenter scale AI systems for the rapidly growing AI infrastructure market. If you have knowledge of computer architecture, hardware-software codesign, and interchip communication, and are looking to learn and grow, this is the opportunity you are looking for. **What you'll be doing:** * Work on groundbreaking AI scale up systems. Understand them across a range of disciplines and build holistic solutions * Study the applications and models running on Nvidia hardware and their architectural implications * Come up with system level solutions for connectivity, coherency, power management, security, and memory management. * 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 NVIDIA hardware. **What we need to see:** * Master's Degree in Computer Engineering or Electrical Engineering (or equivalent experience). * 12+ years of relevant experience. * Industry experience building high performance connectivity architectures. Experience with standard networking and bus protocols. * Clear understanding of hardware-software codesign. * 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 is a plus. * Publications or other evidence of original chip/system architecture work is a plus. Join the future of chip building, you will co
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