# GPU System Architect

**Company**: NVIDIA
**Location**: Bengaluru, IN
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/India-Bengaluru/GPU-System-Architect_JR2019269?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_0cf513b8-e95

## Description

## GPU System Architect

Apply

locationsIndia, Bengaluru

time typeFull time

posted onPosted Today

job requisition idJR2019269

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.

**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 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.

**What we need to see:**

- 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 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.

**Ways to stand out from the crowd:**

- Background in system design for AI and HPC.

- Experience with NICs or DPU architecture and other transport offload engines.

- Expertise in chiplet interconnect architectures or multi-node fabrics and protocols for distributed computing.

- Hands-on experience with interposer or 2.5D/3D package co-design.

#LI-Hybrid

## Skills

### Required
- 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 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

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/India-Bengaluru/GPU-System-Architect_JR2019269?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)