Lead HPC & AI Infrastructure Architect

GTN Technical Staffing

Town of Texas (WI)

On-site

USD 150,000 - 190,000

Full time

16 hours ago
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Job summary

GTN Technical Staffing's client seeks an HPC Customer Solutions Architect to lead design, integration, and delivery of HPC and AI infrastructure solutions across GPU/CPU compute, storage, networking, Kubernetes, orchestration, and security.

You will translate client requirements into scalable, production-ready architectures, guide PoC, benchmark, and optimize workloads, and collaborate with engineering, product, and operations.

Qualifications

  • Strong technical expertise across GPU/CPU architectures and NVIDIA CUDA ecosystem.
  • Experience with Slurm and Kubernetes in HPC environments.
  • Storage systems such as Lustre, GPFS/Spectrum Scale, Ceph, or similar.

Responsibilities

  • Lead customer engagement and technical discovery to capture workload requirements and performance targets.
  • Design end-to-end HPC and AI architectures across compute, storage, networking, orchestration, and security.
  • Provide technical leadership during deployment, integration, and production handoff.
  • Develop architecture blueprints, integration plans, and technical documentation.
  • Lead customer workshops, architecture reviews, and technical presentations.

Skills

GPU and CPU architectures
NVIDIA CUDA ecosystem
Slurm
Kubernetes
InfiniBand RDMA RoCE
Storage platforms Lustre GPFS Ceph
Linux systems performance tuning
Architectures design & workload分析
Customer-facing communication

Education

Bachelor's/Master's in CS/Engineering/Physics

Tools

Ansible
Terraform

Job description

GTN Technical Staffing's client seeks an HPC Customer Solutions Architect to lead design, integration, and delivery of HPC and AI infrastructure solutions across GPU/CPU compute, storage, networking, Kubernetes, orchestration, and security.

You will translate client requirements into scalable, production-ready architectures, guide PoC, benchmark, and optimize workloads, and collaborate with engineering, product, and operations.

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