GPU System Architect for Scalable AI Data Centers

NVIDIA Corporation; Hinoba-an; Hybrid; PHP 1,200,000 - 1,800,000; Full time

Job summary

NVIDIA is seeking a GPU System/Fabrics Architect to design multi-GPU scale-up and scale-out systems for next-generation AI datacenter platforms. You will define architectures that tightly couple GPU compute, memory, and interconnects to deliver leading AI performance, scalability, and resilience.

The role requires advanced degrees and 2+ years of experience in system design/ASIC/SoC architecture for GPU or networking products, with deep knowledge of NVLink, Ethernet, PCIe, and other

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.

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.

Skills

Multi-GPU architectures

System modeling

Performance analysis

Collaboration

Education

BS/MS/PhD in Electrical or Computer Engineering

Tools

NVLink

PCIe

Job description

NVIDIA is seeking a GPU System/Fabrics Architect to design multi-GPU scale-up and scale-out systems for next-generation AI datacenter platforms. You will define architectures that tightly couple GPU compute, memory, and interconnects to deliver leading AI performance, scalability, and resilience.

The role requires advanced degrees and 2+ years of experience in system design/ASIC/SoC architecture for GPU or networking products, with deep knowledge of NVLink, Ethernet, PCIe, and other