Remote GPU Cluster Architect — Scale AI Infra

Bazeta; United States; A distancia; USD 184.000 - 318.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

401(k) plan

Parental leave

Remote work reimbursement

Disability & life insurance

Descripción de la vacante

Nebius in the United States is seeking a GPU Cluster Architect to drive the design of our next-generation AI infrastructure. In this hands-on role, you will define how tens of thousands of GPUs are interconnected, cooled, powered, and optimized across data centers.

You will model AI/ML workloads, align network architecture, collaborate with reliability and storage teams, and ensure scalable, high-performance systems. This position offers remote work from the U.S.

Formación

• 5+ years of experience designing GPU clusters.
• Deep understanding of modern GPU architectures (NVIDIA, AMD).
• Experience with HPC interconnects (InfiniBand, RoCE).
• Robust background in systems architecture, networking, and hardware reliability.
• Scripting for automation/telemetry pipelines (Python, Go).

Responsabilidades

• Architect scalable GPU cluster topologies including compute nodes, interconnects, storage, and control planes.
• Perform performance modeling of AI/ML workloads to inform design tradeoffs.
• Design network architecture with low latency and high throughput at POD/DC scale; validate interconnects (InfiniBand HDR/NDR, RoCEv2).
• Coordinate with storage teams to optimize training data workflows and checkpointing.
• Collaborate with site reliability, networking, storage, and DC engineering teams to operationalize and scale the architecture.

Conocimientos

GPU cluster design

Performance modeling

System architecture

Networking

Python

Go

Educación

Bachelor's degree or higher

Herramientas

InfiniBand

RoCEv2

Descripción del empleo

Nebius in the United States is seeking a GPU Cluster Architect to drive the design of our next-generation AI infrastructure. In this hands-on role, you will define how tens of thousands of GPUs are interconnected, cooled, powered, and optimized across data centers.

You will model AI/ML workloads, align network architecture, collaborate with reliability and storage teams, and ensure scalable, high-performance systems. This position offers remote work from the U.S.