Senior AI GPU Cluster Solutions Architect

Lenovo

Morrisville (NC)

Sur place

USD 180 000 - 230 000

Plein temps

Il y a 4 jours
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Résumé du poste

Lenovo in Morrisville, NC is seeking a Cluster Solutions Architect to translate customer needs into scalable AI infrastructure solutions. You will design GPU clusters, coordinate with sales, engineering, and hardware teams, and shape architectures that balance performance, reliability, and cost.

Ideal candidates have 10+ years in data center infrastructure or pre-sales architecture, hands-on experience with GPU clusters and AI workloads, and strong experience with Linux, Slurm, Kubernetes, and

Qualifications

  • Bachelor's degree in CS/Engineering or related field.
  • 10+ years in data center infrastructure or solution architecture.
  • Experience with AI inference/training workloads and GPU clusters.
  • Experience designing customer-facing AI infrastructure solutions.
  • Strong scripting/automation knowledge (Python or similar).
  • Willingness to travel up to 10% for customer engagements.

Responsabilités

  • Design end-to-end AI inference/training solutions, focusing on GPU clusters.
  • Evaluate architecture tradeoffs to improve latency, throughput, and cost.
  • Translate workload, power, and cooling requirements into scalable architectures.
  • Provide leadership across solution lifecycle and customer presentations.
  • Develop POCs, demos, and customer-ready architecture content.
  • Cooperate with engineering, hardware, networking, and supply chain teams.

Connaissances

AI infrastructure design
Pre-sales / solution architecture
Customer collaboration
Python scripting
Travel readiness

Formation

Bachelor's degree in Computer Science or Engineering
Master's degree or PhD in related field

Outils

Linux
Slurm
Kubernetes
Docker
NVIDIA NICo
NVIDIA Mission Control
ROCm

Description du poste

Lenovo in Morrisville, NC is seeking a Cluster Solutions Architect to translate customer needs into scalable AI infrastructure solutions. You will design GPU clusters, coordinate with sales, engineering, and hardware teams, and shape architectures that balance performance, reliability, and cost.

Ideal candidates have 10+ years in data center infrastructure or pre-sales architecture, hands-on experience with GPU clusters and AI workloads, and strong experience with Linux, Slurm, Kubernetes, and

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