GenAI & High Performance Computing (HPC) Delivery Engineer

Dell Technologies is hiring a GenAI & High Performance Computing (HPC) Delivery Engineer to deploy, integrate, test, and optimize customer GPU-accelerated AI and HPC systems. The role includes onsite customer deployments, cluster benchmarking, troubleshooting hardware and network issues, and producing deployment and performance documentation.

Responsibilities:

• 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.)

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
• 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