Global Data-Center GPU Solutions Architect

Socket.dev

Santa Clara (CA)

On-site

USD 184,000 - 287,500

Full time

14 days+

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Job summary

NVIDIA is seeking an Infrastructure Solutions Architect to lead deployment and go‑to‑market of our Data Center GPUs and networking platforms. You will drive end‑to‑end execution for hyperscalers and large enterprises, coordinating across product, engineering, sales, and customer teams.

You will analyze performance, address bottlenecks, and communicate status to executives while shaping platform design and operational workflows for scalable deployments.

Qualifications

  • 4+ years experience in Solutions Architecture, Infrastructure Engineering, or similar technical roles.
  • Hands‑on experience with bring‑up and validation of large‑scale NVIDIA GPU platforms.
  • Understanding of high‑performance networking technologies and their role in distributed AI workloads.

Responsibilities

  • Lead end‑to‑end execution for hyperscaler customers to bring NVIDIA GPU and networking platforms to market at scale.
  • Drive strategic partnership with Product teams to understand roadmap and align metrics across orgs.
  • Influence across Product, Engineering, Sales, and CSP customers to unblock paths for scale‑up.
  • Analyze deployment and performance data to identify health trends, bottlenecks, and risks.
  • Solve challenging problems involving GPUs, networking, drivers, containers, firmware, and distributed systems.
  • Deliver executive‑level communication on status, risks, progress, and decisions.
  • Collaborate with Product and Engineering to enable future platform design improvements.

Skills

GPU platforms
High-performance networking
Linux system tools
Performance tuning
Distributed systems

Education

BS/MS/PhD in Electrical/Computer Engineering or similar

Tools

CUDA
NCCL
NVSwitch/NVLink
nvidia-smi

Job description

NVIDIA is seeking an Infrastructure Solutions Architect to lead deployment and go‑to‑market of our Data Center GPUs and networking platforms. You will drive end‑to‑end execution for hyperscalers and large enterprises, coordinating across product, engineering, sales, and customer teams.

You will analyze performance, address bottlenecks, and communicate status to executives while shaping platform design and operational workflows for scalable deployments.

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