Senior GPU System Architect
Nvidia · Santa Clara, CA
About this role
Nvidia is hiring a senior-level Systems Engineer in the operations function based in Santa Clara, CA. The posting calls out experience with Python, Distributed Systems, System Design, Performance Optimization.
- Role
- Systems Engineer
- Function
- operations
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Santa Clara, CA
- Posted
- May 7, 2026
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Job description
from Nvidia careersNVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel.NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel.
We are seeking a GPU System Architect who will architect and design multi-GPU scale-up and scale-out systems for next-generation datacenter platforms for AI and HPC. The architect in this role will explore and define system architectures that tightly couple GPU compute, high-bandwidth memory, in-package interconnects and GPU-to-GPU communication fabric subsystems to deliver industry-leading AI performance, scalability and resilience. The ideal candidate combines deep hands-on system-level fabric/networking architecture experience, and practical hardware-software co-design expertise.
What you will be doing:
Architect multi-GPU system topologies for scale-up and scale-out configurations, balancing AI throughput, scalability, and resilience.
Define, modify and evaluate future architectures for high-speed interconnects such as NVLink and Ethernet co-designed with the GPU memory system.
This is an excerpt. Read the full job description on Nvidia careers →