Senior GPU System Architect

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 communication layers.

Contribute to interposer, package, PCB and switch co-design for novel high-density multi-die, multi-package, multi-node rack-scale systems consisting of hundreds of GPUs.

BS/MS/PhD in Electrical Engineering, Computer Engineering, or equivalent area.

8 years or more of relevant experience in system design and/or ASIC/SoC architecture for GPU, CPU or networking products.

Deep understanding of communication interconnect protocols such as NVLink, Ethernet, InfiniBand, CXL and PCIe.

Experience with RDMA/RoCE or InfiniBand transport offload architectures.

Proven ability to architect multi-GPU/multi-CPU topologies, with awareness of bandwidth scaling, NUMA, memory models, coherency and resilience.

Experience with hardware-software interaction, drivers and runtimes, and performance tuning for modern distributed computing systems.

Strong analytical and system modeling skills (Python, SystemC, or similar).

Excellent cross-functional collaboration skills with silicon, packaging, board, and software teams.