Senior GPU System/Fabrics Architect
NVIDIA · Posted Oct 13
Graphics processing units, artificial intelligence platforms, accelerated computing, and data center solutions
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About the role
NVIDIA invents and builds GPUs that power PC gaming, modern computer graphics, and parallel computing, and today supports the worldwide boom in artificial intelligence research that demands highly scalable, massively parallel computation. This role is within the GPU system architecture team for next-generation AI datacenter platforms, focused on tightly coupling GPU compute, high-bandwidth memory, in-package interconnects, and GPU-to-GPU fabric transport and routing. The Senior GPU System/Fabrics Architect will architect and define multi-GPU scale-up and scale-out systems, interconnects such as NVLink and Ethernet, and RDMA-capable hardware to deliver industry-leading AI performance, scalability, and resilience.
What you will 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 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 used in this role
What the employer is looking for
- 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, 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.
Preferred qualifications
- Experience with NICs, DPUs, RDMA/RoCE or InfiniBand transport offload architectures.
- Expertise in chiplet interconnect architectures or multi-node fabrics and protocols for high-performance distributed computing.
Benefits and support
- Compensation and benefits are detailed in the job posting
About NVIDIA
NVIDIA Corporation is a multinational technology company that designs graphics processing units (GPUs) for the gaming and professional markets, as well as system on a chip units (SoCs) for the mobile computing and automotive market. Pioneering accelerated computing, the company has become a driving engine of modern artificial intelligence, deep learning, and data center infrastructure.
- Industry
- Semiconductors
- Company size
- 42000+ employees
- Founded
- April 5, 1993
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Funding
Public Company · $5M raised
Leadership
Founder, President and Chief Executive Officer
Executive Vice President and Chief Financial Officer
Founder and NVIDIA Fellow
Executive Vice President, Worldwide Field Operations
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