Senior GPU System Architect
NVIDIA Β· Bengaluru, India
About this role
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.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. Collaborate with other teams to architect RDMA-capable hardware and define transport layer optimizations for GPU-based large scale AI workload deployments. Use and modify system models, perform simulations and bottleneck analyses to guide design trade-offs
Work with GPU ASIC, compiler, library and software stack teams to enable efficient hardware-software co-design across compute, memory, and c
Apply for this role on NVIDIAβs official careers site.