GenAI & HPC Delivery Engineer: GPU Clusters & Performance

Dell Technologies Inc.; Oklahoma City (OK); On-site; USD 110,000 - 143,000; Full time

Job summary

Dell Technologies in Oklahoma City seeks a GenAI & HPC Delivery Engineer to design, deploy, and optimize GPU-accelerated compute clusters for AI, ML, and high-performance workloads. You will work hands-on with multi-GPU systems and coordinate with customers across the U.S., traveling as needed.

The role emphasizes Linux tuning, performance benchmarking, and detailed documentation, with opportunities to work within a team that leads GenAI and HPC scale deployments.

Qualifications

• 5+ years of HPC or GenAI clusters or related environments.
• Hands-on GPU deployment, system config, multi-node tests with BCM.
• Experience benchmarking with HPL, STREAM, NCCL, RCCL, MxP, OSU Microbenchmarks.
• RHCSA or equivalent Linux admin experience.
• Solid understanding of high-speed GenAI/HPC fabrics and networking.

Responsibilities

• Deploy, configure, and validate GPU-accelerated compute clusters for AI, ML, HPC using BCM.
• Perform multi-node testing and benchmarking with standard tools.
• Validate GPU interconnects and troubleshoot hardware and network issues.
• Configure and optimize Linux OS for GenAI/HPC workloads.
• Produce as-built docs and performance verification reports.
• Travel up to 70% for onsite deployments.

Skills

HPC clusters

GPU deployment

BCM administration

Linux performance

Benchmarking

InfiniBand/RoCE networking

Containerization

Slurm/Kubernetes

Education

Bachelor's degree in CS/CE

RHCSA certification

Tools

Docker

Singularity/Apptainer

Slurm

Kubernetes

Warewulf/OpenHPC

Job description

Dell Technologies in Oklahoma City seeks a GenAI & HPC Delivery Engineer to design, deploy, and optimize GPU-accelerated compute clusters for AI, ML, and high-performance workloads. You will work hands-on with multi-GPU systems and coordinate with customers across the U.S., traveling as needed.

The role emphasizes Linux tuning, performance benchmarking, and detailed documentation, with opportunities to work within a team that leads GenAI and HPC scale deployments.