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GenAI & High Performance Computing (HPC) Delivery Engineer

Dell Technologies
Texas, USA
Full-time
Mid · 5+ years experience
Onsite
USD 122,400 - USD 158,400
Discovered 1 weeks ago
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Qualifications

  • Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
  • Essential Requirements • 5+ years of experience with HPC or GenAI clusters, GPU-based systems, AI infrastructure, or related technical environments • Proven hands-on experience with GPU deployment, system configuration, and multi-node testing using NVIDIA Base Command Manager (BCM) • Practical experience executing cluster benchmarking tools: HPL, STREAM, NCCL, RCCL, MxP, and OSU Microbenchmarks • Red Hat certification (RHCSA) or 5+ years of relevant Enterprise Linux (RHEL/Rocky/Ubuntu) systems administration experience • Solid understanding of high-speed GenAI/HPC fabrics and networking (InfiniBand and/or RoCE) • Hands-on experience with containerization and workload orchestration platforms (Docker, Singularity/Apptainer, Slurm, or Kubernetes) • Excellent technical troubleshooting, communication, and customer-facing skills • Ability to travel up to 70% of the time across the U.S. as needed for deployment projects
  • Desirable Requirements • Bachelor’s degree in Computer Science, Computer Engineering, or related technical field • NVIDIA technical certifications (NCA, NCE, DGX) • Experience deploying and configuring NVIDIA UFM, InfiniBand, and Spectrum-X fabrics • Exposure to hybrid cloud or GPU cloud infrastructure • Experience utilizing GPU observability and performance profiling tools
  • Compensation Dell is committed to fair and equitable compensation practices. The salary range for this position is USD 122,400 - USD 158,400 Benefits and Perks of Working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at MyWellatDell.com
  • Take the first step towards your dream career
  • Essential Requirements
  • 5+ years of experience with HPC or GenAI clusters, GPU-based systems, AI infrastructure, or related technical environments
  • Proven hands-on experience with GPU deployment, system configuration, and multi-node testing using NVIDIA Base Command Manager (BCM)
  • Practical experience executing cluster benchmarking tools: HPL, STREAM, NCCL, RCCL, MxP, and OSU Microbenchmarks
  • Red Hat certification (RHCSA) or 5+ years of relevant Enterprise Linux (RHEL/Rocky/Ubuntu) systems administration experience
  • Solid understanding of high-speed GenAI/HPC fabrics and networking (InfiniBand and/or RoCE)
  • Hands-on experience with containerization and workload orchestration platforms (Docker, Singularity/Apptainer, Slurm, or Kubernetes)
  • Excellent technical troubleshooting, communication, and customer-facing skills
  • Ability to travel up to 70% of the time across the U.S. as needed for deployment projects
  • Desirable Requirements
  • Bachelor’s degree in Computer Science, Computer Engineering, or related technical field
  • NVIDIA technical certifications (NCA, NCE, DGX)
  • Experience deploying and configuring NVIDIA UFM, InfiniBand, and Spectrum-X fabrics
  • Exposure to hybrid cloud or GPU cloud infrastructure
  • Experience utilizing GPU observability and performance profiling tools
  • Compensation
  • Dell is committed to fair and equitable compensation practices. The salary range for this position is USD 122,400 - USD 158,400
  • Benefits and Perks of Working at Dell Technologies
  • Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at MyWellatDell.com

Responsibilities

  • What you’ll achieve We’re seeking a GenAI & HPC Delivery Engineer with strong hands-on experience in GPU accelerated systems, Linux performance tuning, and cluster deployment. This role is highly hands-on and customer-facing, supporting onsite deployments across the U.S. for cutting-edge HPC and GenAI solutions.
  • You will work as part of a high-performing engineering team to 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.
  • You will: • Deploy, configure, and validate GPU-accelerated compute clusters for AI, ML, and HPC using NVIDIA Base Command Manager (Warewulf and OpenHPC knowledge are 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/parts replacement with support teams • Configure, harden, and optimize Linux operating systems (RHEL, Ubuntu, Rocky) tailored for GenAI and HPC workloads • Produce detailed as-built documentation, performance verification reports, and adhere to deployment operational best practices • Work directly with enterprise customers onsite (travel both regionally and across the U.S.)
  • What you’ll achieve
  • We’re seeking a GenAI & HPC Delivery Engineer with strong hands-on experience in GPU accelerated systems, Linux performance tuning, and cluster deployment. This role is highly hands-on and customer-facing, supporting onsite deployments across the U.S. for cutting-edge HPC and GenAI solutions.
  • You will:
  • Deploy, configure, and validate GPU-accelerated compute clusters for AI, ML, and HPC using NVIDIA Base Command Manager (Warewulf and OpenHPC knowledge are 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/parts replacement with support teams
  • Configure, harden, and optimize Linux operating systems (RHEL, Ubuntu, Rocky) tailored for GenAI and HPC workloads
  • Produce detailed as-built documentation, performance verification reports, and adhere to deployment operational best practices
  • Work directly with enterprise customers onsite (travel both regionally and across the U.S.)

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