Senior Large GPU Technologies Architect

NVIDIA • Santa Clara, CA

1d

About The Position

We are looking for a Large GPU Technologies Architect. NVIDIA is known as a world leader in providing energy-efficient high-performance products, and we continue to invest in the research and development of hyper-efficient GPU and SOC architectures. We are continually innovating in creative and unrivaled ways to improve our ability to deliver exceptional Datacenter solutions in a wide range of sectors and verticals. Come join NVIDIA's Large GPU Technologies Architecture team to develop state-of-the-art GPUs to power modern AI, HPC Datacenters. What you'll be doing: Analyze and anticipate problems related to very large GPUs, including warpage, electrical, thermal, and high-speed interconnect challenges. Stay up to date with the latest industry trends and advancements in large GPU technologies, perform and learn competitive analyses, and apply this knowledge to drive continuous improvement. Lead the pathfinding of innovative solutions to technical challenges, ensuring superior performance and reliability. Collaborate closely with Advanced Technologies, Architecture, ASIC, VLSI, Systems, Operations, and Software teams to champion new solutions and achieve alignment across the organizations for technology integration with our product roadmap. Develop test vehicle plans and deliver functional prototypes that validate new technologies and pave the way for mass production readiness. Craft and implement the bring up plan to thoroughly test emerging technologies and ensure they meet NVIDIA’s quality and performance standards. Integrate these technologies into our production GPUs and systems plan of record to deliver expected benefits for important datacenter KPIs such as performance-per-watt, performance-per-TCO, and resiliency. What we need to see: Bachelor's or Master's degree in Electrical Engineering, Computer Science, or a related field (or equivalent experience) with minimum 12 years of experience. Extensive experience in state-of-the-art multi-die GPU chips/system architectures, process nodes, and interposer/packaging/PCB technologies. Strong understanding of related challenges such as mechanical and functional reliability of the attach technologies. Hands-on problem-solving experience of issues related to: max-current limits of various structures in the Power-Delivery Network (PDN) and electromigration, PDN efficiency, and high-speed interconnects: their reach and related power and signal integrity challenges. Proven track record of developing and implementing innovative solutions to complex technical problems. Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment. Strong analytical and problem-solving skills, with keen attention to details. NVIDIA is widely considered to be one of the technology world’s most desirable employers. Our products are leading the way with groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. We have some of the most forward-thinking and hardworking people in the world working for us. Do you love the challenge of crafting the fastest and most power-efficient chips in their class? If so, we want to hear from you!

Requirements

• Bachelor's or Master's degree in Electrical Engineering, Computer Science, or a related field (or equivalent experience) with minimum 12 years of experience.
• Extensive experience in state-of-the-art multi-die GPU chips/system architectures, process nodes, and interposer/packaging/PCB technologies.
• Strong understanding of related challenges such as mechanical and functional reliability of the attach technologies.
• Hands-on problem-solving experience of issues related to: max-current limits of various structures in the Power-Delivery Network (PDN) and electromigration, PDN efficiency, and high-speed interconnects: their reach and related power and signal integrity challenges.
• Proven track record of developing and implementing innovative solutions to complex technical problems.
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
• Strong analytical and problem-solving skills, with keen attention to details.

Responsibilities

• Analyze and anticipate problems related to very large GPUs, including warpage, electrical, thermal, and high-speed interconnect challenges.
• Stay up to date with the latest industry trends and advancements in large GPU technologies, perform and learn competitive analyses, and apply this knowledge to drive continuous improvement.
• Lead the pathfinding of innovative solutions to technical challenges, ensuring superior performance and reliability.
• Collaborate closely with Advanced Technologies, Architecture, ASIC, VLSI, Systems, Operations, and Software teams to champion new solutions and achieve alignment across the organizations for technology integration with our product roadmap.
• Develop test vehicle plans and deliver functional prototypes that validate new technologies and pave the way for mass production readiness.
• Craft and implement the bring up plan to thoroughly test emerging technologies and ensure they meet NVIDIA’s quality and performance standards.
• Integrate these technologies into our production GPUs and systems plan of record to deliver expected benefits for important datacenter KPIs such as performance-per-watt, performance-per-TCO, and resiliency.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior