GenAI & High Performance Computing (HPC) Delivery Engineer

Dell Technologies
Austin, TX
On-site

Who this role is best for

A natural match if you have hands-on experience with GPU-accelerated systems and multi-node HPC testing.

Best fit for

  • Candidates with 5+ years of HPC or GenAI cluster deployment experience and a background in Linux systems administration
    — “5+ years of experience with HPC or GenAI clusters, GPU-based systems, AI infrastructure”
  • Individuals who thrive in customer-facing, field-based engineering roles with a focus on performance validation
    — “This role is highly hands-on and customer-facing, supporting onsite deployments across the U.S.”
  • Professionals with a strong grasp of benchmarking tools and GPU interconnect diagnostics
    — “Benchmark them using industry-standard tools, and diagnose hardware and network components”

Things to consider

  • This role requires up to 70% travel across the U.S. for onsite deployments
    — “Ability to travel up to 70% of the time across the U.S. as needed”
  • Candidates must be prepared to work with enterprise customers directly and troubleshoot complex systems
    — “Work directly with enterprise customers onsite (travel both regionally and across the U.S.)”

How to stand out

  • Highlight experience with NVIDIA Base Command Manager and multi-node benchmarking in your resume
    — “Deploy, configure, and validate GPU-accelerated compute clusters using NVIDIA Base Command Manager”
  • Emphasize your Linux systems administration background, especially with RHEL, Ubuntu, or Rocky
    — “Configure, harden, and optimize Linux operating systems (RHEL, Ubuntu, Rocky)”
  • Demonstrate familiarity with GPU interconnects and fabric health validation during interviews
    — “Validate GPU interconnects and fabric health; troubleshoot hardware, component, and network issues”
  • Showcase your ability to produce detailed as-built documentation and performance reports
    — “Produce detailed as-built documentation, performance verification reports”
  • Include experience with containerization tools like Docker or Singularity in your application materials
    — “Hands-on experience with containerization and workload orchestration platforms (Docker, Singularity/Apptainer)”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • GPU-accelerated compute clusters
  • Linux operating systems
  • cluster benchmarking
Typical background
HPC or GenAI clustersGPU-based systemsAI infrastructure

Skills & requirements

Required

GPU DeploymentSystem ConfigurationMulti-node TestingLinux Performance TuningCluster Deployment

Preferred

ContainerizationWorkload OrchestrationGPU ObservabilityPerformance Profiling

Stack & domain

Gpu-accelerated Compute ClustersLinux Performance TuningCluster DeploymentBenchmarkingHardware And Network IssuesLinux Operating SystemsContainerizationWorkload Orchestration PlatformsTechnical TroubleshootingCommunicationCustomer-facing SkillsTravelingHPC And Genai SolutionsGPU DeploymentSystem ConfigurationMulti-node TestingCluster Benchmarking ToolsGPU InterconnectsFabric HealthGPU ObservabilityPerformance Profiling ToolsN/AGenaiHPCGPULinuxWorkload OrchestrationPerformance Profiling

About the role

Original posting from Dell Technologies

GenAI & High Performance Computing (HPC) Delivery Engineer

Dell Technologies has delivered HPC solutions for 25+ years, including support for Bright Cluster Manager (now NVIDIA BCM) since 2011. Today, Dell is NVIDIA’s preferred partner for GenAI Factory systems, using Dell GenAI PowerEdge XE servers and NVIDIA NVAIE to help customers build and scale end to end GenAI and High-Performance Computing environments.

Join us to do the best work of your career and make a profound social impact as a GenAI & High Performance Computing (HPC) Delivery Engineer on our Service Delivery Team in Austin, TX

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.)

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

Source: Dell Technologies careers

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