Senior GenAI & High Performance Computing (HPC) Delivery Engineer

Dell Technologies
Massachusetts, MA
On-site

Who this role is best for

Best suited to candidates with hands-on technical expertise in GPU systems and HPC environments, working in a customer-facing, travel-intensive role in the U.S.

Best fit for

  • Candidates with 7+ years of HPC or GenAI cluster experience and strong customer interaction skills
    — “This role is highly hands on and customer facing, supporting onsite deployments across the U.S.”
  • Professionals skilled in deploying and benchmarking GPU accelerated systems using NVIDIA Base Command Manager
    — “Deploy, configure, and validate GPU accelerated compute clusters for AI, ML, and HPC with NVIDIA Base Command Manager”
  • Individuals with Red Hat experience and the ability to work in large-scale Linux environments
    — “Configure and secure RHEL, Ubuntu, Rocky for GenAI or HPC workloads”

Things to consider

  • This role demands 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”
  • Candidates must have a deep understanding of benchmarking tools for GPU and HPC systems.
    — “Perform benchmarking with HPL GPU, HPL MxP, STREAM, NCCL, RCCL, OSU Microbenchmarks, and related tools”

How to stand out

  • Highlight experience with multi-node GPU testing and NVIDIA Base Command Manager in your resume and interviews.
    — “Deep hands on experience with GPU deployment, configuration, and multi-node testing using NVIDIA Base Command Manager”
  • Emphasize your ability to produce detailed as-built documentation and performance reports.
    — “Produce as-built documentation, performance reports, and share best practices amongst the team.”
  • Demonstrate your Red Hat proficiency by showcasing specific projects or certifications.
    — “Red Hat certification (RHCSA/RHCE) or 7+ years of relevant RH distros experience”
  • Include experience with container orchestration and job scheduling tools like Kubernetes and Slurm.
    — “Experience with containers/orchestration (Docker, Singularity/Apptainer, Kubernetes, Slurm)”
  • Showcase your familiarity with InfiniBand and RoCE networking in HPC environments.
    — “Experience with GenAI/HPC networking (InfiniBand and/or RoCE)”
Pace · Fast PacedCollaboration · MediumAutonomy · HighDecision Impact · Team

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

What success looks like

  • deploy GPU accelerated clusters
  • produce performance reports
  • work directly with customers
Typical background
HPCGenAILinux

Skills & requirements

Required

HPCGPU DeploymentLinux Performance TuningBenchmarkingCustomer Interaction

Preferred

Nvidia CertificationsGPU Observability

Stack & domain

GPU Accelerated Compute ClustersLinux Performance TuningBenchmarking ToolsRhel, Ubuntu, Rocky ConfigurationGenai/hpc NetworkingContainers/orchestrationDocker, Singularity/apptainer, Kubernetes, SlurmNvidia Base Command ManagerHPL, Stream, Nccl, Rccl, Mxp, OSU MicrobenchmarksCustomer Facing And Communication SkillsTeamworkProblem-solvingProject ManagementTechnical DocumentationBest Practices SharingRhcsaRHCENCANCEDGXAIHPCGenaiGPU

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 Boston, MA

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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