Senior GenAI & High Performance Computing (HPC) Delivery Engineer

Dell Technologies
Denver, CO

Who this role is best for

Candidates with hands-on HPC and GenAI infrastructure experience and a background in Linux-based parallel computing will find this customer-facing, travel-intensive role a strong fit for their expertise and career trajectory.

Best fit for

  • Candidates with a background in GPU deployment and multi-node testing in HPC environments
    — “Deep hands on experience with GPU deployment, configuration, and multi-node testing using NVIDIA Base Command Manager”
  • Professionals with strong communication skills and a customer-centric mindset
    — “Strong customer facing and communication skills”
  • Individuals with experience in benchmarking and performance tuning of GPU systems
    — “Perform benchmarking with HPL GPU, HPL MxP, STREAM, NCCL, RCCL, OSU Microbenchmarks, and related tools”

Things to consider

  • This role requires a high level of travel, with up to 70% of time spent on client sites across the U.S.
    — “Ability to travel up to 70% of the time across the U.S. as needed for projects”
  • The position demands extensive knowledge of Linux distributions for HPC and GenAI workloads
    — “Configure and secure RHEL, Ubuntu, Rocky for GenAI or HPC workloads”

How to stand out

  • Highlight experience with large-scale multi-GPU system integration and benchmarking in your resume and interviews
    — “help build, integrate, and test some of the world’s largest multi GPU systems”
  • Emphasize your ability to produce clear as-built documentation and performance reports
    — “Produce as-built documentation, performance reports, and share best practices amongst the team”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

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

What success looks like

  • successful HPC and GenAI deployments
  • performance improvements
Typical background
HPC or GenAI clustersGPU based systems

Skills & requirements

Required

GPU DeploymentLinux Performance TuningBenchmarkingHPC ClustersCustomer-facing

Preferred

Nvidia CertificationsGPU Observability/performance ProfilingHybrid Cloud Environments

Stack & domain

GPU DeploymentLinux Performance TuningBenchmarkingRHELUbuntuRockyNvidia Base Command ManagerHPLStreamNCCLRCCLOSU MicrobenchmarksContainersOrchestrationDockerSingularity/apptainerKubernetesSlurmInfinibandRoceGPU Observability/performance Profiling ToolsCustomer FacingCommunicationProblem-solvingAttention To DetailRhcsaRHCENCANCEDGXHPCGenaiGPU ComputingAI Infrastructure

About the role

Original posting from Dell Technologies

Senior 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 Senior GenAI & High Performance Computing (HPC) Delivery Engineer on our Service Delivery Team in Denver, Colorado

What you’ll achieve

We’re seeking a Senior GenAI & HPC Engineer with deep experience in GPU accelerated systems, Linux performance tuning, and benchmarking. This role is highly hands on and customer facing, supporting onsite deployments across the U.S. for advanced HPC and GenAI solutions.

You will work as a part of a team to help build, integrate, and test some of the world’s largest multi GPU systems, benchmark them using industry standard tools, and deliver the next generations of AI and HPC infrastructure.

You will:

  • Deploy, configure, and validate GPU accelerated compute clusters for AI, ML, and HPC with NVIDIA Base Command Manager (Warewulf and OpenHPC knowledge are a plus)
  • Perform benchmarking with HPL GPU, HPL MxP, STREAM, NCCL, RCCL, OSU Microbenchmarks, and related tools
  • Produce as-built documentation, performance reports, and share best practices amongst the team.
  • Configure and secure RHEL, Ubuntu, Rocky for GenAI or HPC workloads
  • Work directly with 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

  • 7+ years with HPC or GenAI clusters, GPU based systems, AI infrastructure, or related fields
  • Deep hands on experience with GPU deployment, configuration, and multi-node testing using NVIDIA Base Command Manager
  • Proficiency with benchmarking tools: HPL, STREAM, NCCL, RCCL, MxP, OSU Microbenchmarks
  • Red Hat certification (RHCSA/RHCE) or 7+ years of relevant RH distros experience
  • Experience with GenAI/HPC networking (InfiniBand and/or RoCE)
  • Experience working in Linux based parallel computing environments at scale
  • Experience with containers/orchestration (Docker, Singularity/Apptainer, Kubernetes, Slurm)
  • Ability to travel up to 70% of the time across the U.S. as needed for projects
  • Strong customer facing and communication skills

Desirable Requirements

  • Bachelor’s degree
  • NVIDIA certifications (NCA, NCE, DGX)
  • Experience with NVIDIA UFM, Infiniband, and SpectrumX fabrics
  • Exposure to hybrid cloud or GPU cloud environments
  • Experience with GPU observability/performance profiling tools

Compensation

Dell is committed to fair and equitable compensation practices. The salary range for this position is USD 153,850 - USD 199,100

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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