HPC & GPU Customer Solutions Engineer

GTN Technical Staffing

Dallas (TX)

Hybrid

USD 120,000 - 180,000

Full time

2 days ago
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Job summary

GTN Technical Staffing represents a client seeking an HPC Customer Solutions Engineer to design, integrate, and deliver high-performance computing and AI infrastructure solutions. The role covers GPU/CPU compute, storage, networking, Kubernetes, orchestration, and security, with a full lifecycle from discovery to deployment and optimization.

You will translate complex customer requirements into scalable architectures, lead technical workshops, and partner with engineering, product, and

Qualifications

  • Bachelor's or Master's degree in CS/Engineering/Physics or related field.
  • Strong HPC and AI infrastructure design background is required.
  • Experience with PoC, benchmarking, and workload optimization.
  • Excellent customer-facing communication and presentation skills.

Responsibilities

  • Lead technical discovery sessions and design end-to-end HPC/AI architectures across compute, storage, networking, orchestration, and security.
  • Collaborate with customers and internal Engineering, Product, and Operations teams during deployment and integration.
  • Provide architecture blueprints, integration plans, and technical documentation.
  • Drive performance tuning, workload profiling, and optimization efforts.
  • Lead customer workshops, architecture reviews, and technical presentations.

Skills

GPU architectures
CUDA ecosystem
Kubernetes
Slurm
InfiniBand / RDMA / RoCE
Lustre / GPFS / Spectrum Scale / Ceph
Infrastructure security
Linux performance tuning
Architecting HPC workloads
Customer-facing communication

Education

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

Tools

Lustre
GPFS / Spectrum Scale
Ceph
InfiniBand
RDMA
RoCE
NVIDIA CUDA

Job description

GTN Technical Staffing represents a client seeking an HPC Customer Solutions Engineer to design, integrate, and deliver high-performance computing and AI infrastructure solutions. The role covers GPU/CPU compute, storage, networking, Kubernetes, orchestration, and security, with a full lifecycle from discovery to deployment and optimization.

You will translate complex customer requirements into scalable architectures, lead technical workshops, and partner with engineering, product, and

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