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GPU Architect

NVIDIA· Architect
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Bengaluru, IndiaFull-timePosted 4mo ago

About the role

GPU System/Fabrics Architect to design multi-GPU scale-up/scale-out systems for next-generation AI datacenter platforms, focusing on tight coupling of GPU compute, high-bandwidth memory, in-package interconnects, and GPU-to-GPU fabric transport/routing.

Responsibilities

  • 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 hardware-software co-design across compute, memory, and communication layers.

Qualifications

  • BS/MS/PhD in Electrical Engineering, Computer Engineering, or equivalent area.
  • 2+ years or more of relevant experience in system design and/or ASIC/SoC architecture for GPU, CPU, XPU, or networking products.
  • Deep understanding of communication interconnect protocols such as Ethernet, InfiniBand, NVLink, CXL and PCIe.
  • Proven ability to architect multi-GPU/multi-CPU topologies, with awareness of bandwidth scaling, NUMA, memory models, coherency, and resilience.
  • Strong analytical and system modeling skills for performance, power, resilience.
  • Excellent cross-functional collaboration and skills.

Skills

Required:Interconnect protocolsMulti-GPU/multi-CPU topology designSystem modeling and analysisCross-functional collaboration
Last updated Sep 11, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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