GenAI & High Performance Computing (HPC) Delivery Engineer

Dell Technologies•Austin, TX

1d•Onsite

About The Position

Dell Technologies is hiring a hands-on, customer-facing engineer to deploy and support GPU-accelerated High Performance Computing and generative AI infrastructure. The role is part of the Service Delivery Team in Austin, Texas, and involves onsite deployments across the United States. The engineer will work with a team to build, integrate, test, and benchmark large-scale multi-GPU systems, diagnose hardware and networking components, and help ensure optimal performance of AI and HPC environments. The position includes deploying and validating clusters, configuring and optimizing Linux systems, testing GPU interconnects and fabrics, troubleshooting deployment issues, and coordinating remediation or parts replacement with support teams. It also requires producing as-built documentation and performance verification reports and following deployment best practices. Travel of up to 70% may be required.

Requirements

At least 5 years of experience with HPC or GenAI clusters, GPU-based systems, AI infrastructure, or related technical environments.
Hands-on experience with GPU deployment, system configuration, and multi-node testing using NVIDIA Base Command Manager.
Practical experience executing cluster benchmarking tools, including HPL, STREAM, NCCL, RCCL, MxP, and OSU Microbenchmarks.
Red Hat Certified System Administrator (RHCSA) certification or at least 5 years of relevant enterprise Linux systems administration experience.
Solid understanding of high-speed GenAI/HPC fabrics and networking, including InfiniBand and/or RoCE.
Hands-on experience with containerization and workload orchestration platforms such as Docker, Singularity/Apptainer, Slurm, or Kubernetes.
Strong technical troubleshooting, communication, and customer-facing skills.
Ability to travel up to 70% of the time across the United States as needed for deployment projects.

Nice To Haves

Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.
NVIDIA technical certifications such as NCA, NCE, or DGX.
Experience deploying and configuring NVIDIA UFM, InfiniBand, and Spectrum-X fabrics.
Exposure to hybrid cloud or GPU cloud infrastructure.
Experience using GPU observability and performance profiling tools.
Knowledge of Warewulf and OpenHPC.

Responsibilities

Deploy, configure, and validate GPU-accelerated compute clusters for AI, machine learning, and HPC using NVIDIA Base Command Manager.
Perform multi-node testing and benchmarking with tools including HPL GPU, HPL MxP, STREAM, NCCL, RCCL, and OSU Microbenchmarks.
Validate GPU interconnects and fabric health; troubleshoot hardware, component, and network issues during deployment and coordinate remediation or parts replacement with support teams.
Configure, harden, and optimize Linux operating systems for GenAI and HPC workloads.
Produce detailed as-built documentation and performance verification reports, and follow deployment operational best practices.
Work directly with enterprise customers onsite and travel regionally and across the United States for deployments.