HPC & AI Infra Solutions Engineer

GTN Technical Staffing

United States

Sur place

USD 120 000 - 180 000

Plein temps

Il y a 35 heures
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Résumé du poste

GTN Technical Staffing is seeking an HPC Customer Solutions Engineer to lead the design, integration, and delivery of HPC and AI infrastructure solutions. The role focuses on scalable architectures across GPU/CPU compute, storage, networking, Kubernetes, orchestration, and security.

The ideal candidate will have deep HPC and AI infrastructure expertise, strong hands-on system design and performance tuning, and the ability to translate customer requirements into production-ready solutions.

Qualifications

  • Deep HPC and AI infrastructure expertise.
  • Strong system design and performance tuning experience.
  • Experience translating customer requirements into scalable, production-ready solutions.

Responsabilités

  • Understand workload requirements, performance targets, and objectives.
  • Lead technical discovery sessions focusing on bottlenecks, scalability, and infra needs.
  • Serve as trusted technical advisor throughout the solution lifecycle.
  • Design end-to-end HPC and AI architectures across compute, storage, networking, orchestration, and security.
  • Recommend hardware and software solutions aligned with performance, scalability, reliability, and efficiency goals.
  • Develop architecture blueprints, integration plans, and technical documentation.
  • Design solutions supporting GPU-intensive AI/ML, LLM, and advanced compute workloads.

Connaissances

GPU architectures
NVIDIA CUDA
Slurm
Kubernetes
InfiniBand/RDMA
Storage: Lustre/GPFS
Security & encryption
Linux performance
Customer-facing comms
Architecture design

Formation

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

Description du poste

GTN Technical Staffing is seeking an HPC Customer Solutions Engineer to lead the design, integration, and delivery of HPC and AI infrastructure solutions. The role focuses on scalable architectures across GPU/CPU compute, storage, networking, Kubernetes, orchestration, and security.

The ideal candidate will have deep HPC and AI infrastructure expertise, strong hands-on system design and performance tuning, and the ability to translate customer requirements into production-ready solutions.

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