Senior GPU System/Fabrics Architect (Bengaluru)

Senior GPU System/Fabrics Architect (Bengaluru)

12 Sep
|
NVIDIA
|
Bengaluru

12 Sep

NVIDIA

Bengaluru

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined up-to-date 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/Fabrics Architect who will architect and design multi-GPU scale-up and scale-out systems for next-generation AI datacenter platforms. The architect in this role will explore and define architectures that tightly couple GPU compute, high-bandwidth memory, in-package interconnects,



and GPU-to-GPU communication Fabric transport/routing subsystems to deliver industry-leading AI performance, scalability, and resilience.

What you will be doing:
- Architect multi-GPU systems for scale-up and scale-out configurations, balancing AI performance, scalability, and resilience for the Agentic era.
- Define, modify, and evaluate future architectures for high-speed interconnects such as NVLink and Ethernet co-designed with the GPU memory system and networking hardware.
- Architect RDMA-capable hardware and define transport layer optimizations for GPU-based large scale AI workload deployments.
- Explore and build novel high-density multi-chiplet, multi-package, multi-node rack-scale AI systems consisting of hundreds/thousands of copper and optically interconnected GPUs.
- Use and modify system models, perform simulations, and bottleneck analyses to guide design trade-offs.
- Work with GPU ASIC, compiler, library, and software teams to enable efficient hardwar

📌 Senior GPU System/Fabrics Architect (Bengaluru)
🏢 NVIDIA
📍 Bengaluru

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