GPU Architect

About the role

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'll do

• 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…
• Use and modify system models, perform simulations, and bottleneck analyses to guide design trade-offs

What you need

• 2–5 yrs of experience
• System design
• B.Sc or M.Sc or PhD or B.Tech or B.E.