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Dell Technologies

Makes PCs, AI servers and data storage systems

GenAI & High Performance Computing - HPC, Delivery Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeTexas, USA$122.4k - $158.4k

About the Job

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 (BCM).
  • 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 (RHEL, Rocky, or Ubuntu) systems administration experience.
  • 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.
  • Technical troubleshooting and customer-facing skills.
  • Ability to travel up to 70% of the time across the U.S. for deployment projects.

Responsibilities

  • Deploy, configure, and validate GPU-accelerated compute clusters for AI, machine learning, and HPC using NVIDIA Base Command Manager; knowledge of Warewulf and OpenHPC is a plus.
  • Perform multi-node testing and benchmarking with HPL GPU, HPL MxP, STREAM, NCCL, RCCL, OSU Microbenchmarks, and related tools.
  • 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 (RHEL, Ubuntu, and Rocky) 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, traveling regionally and across the U.S.
  • Build, integrate, and test large-scale multi-GPU systems; benchmark them using industry-standard tools; and diagnose hardware and network components to ensure optimal performance of AI and HPC infrastructure.

Desired Qualifications

  • Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.
  • NVIDIA technical certifications (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.

About the Company

Dell Technologies

Makes PCs, AI servers and data storage systems

Dell Technologies makes laptops, desktops, servers, data storage and networking equipment for businesses, governments, schools and consumers, and it builds many of the server racks inside large AI data centers. In 2016 it completed its $67 billion purchase of storage maker EMC, then the largest technology deal ever. One division sells PCs, monitors and Alienware gaming computers, while the other sells PowerEdge servers, storage arrays and networking gear to companies running their own data centers. Dell earns money from those hardware sales plus support, financing and subscription services. Michael Dell founded the company in 1984 from his University of Texas dorm room, and it is based in Round Rock, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Round Rock, TX
Founded
1984

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