GenAI & High Performance Computing (HPC) Delivery Engineer

Dell Technologies

Chicago, IL

On-site

Who this role is best for

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

Best fit for

Candidates with 5+ years of HPC or AI infrastructure deployment and strong Linux systems administration skills
— “5+ years of experience with HPC or GenAI clusters, GPU-based systems, AI infrastructure, or related technical environments”
Individuals with proven expertise in multi-node testing and benchmarking using HPL, STREAM, and NCCL tools
— “Proven hands-on experience with GPU deployment, system configuration, and multi-node testing using NVIDIA Base Command Manager (BCM)”
Professionals with a background in high-speed networking and GPU interconnects like InfiniBand and RoCE
— “Solid understanding of high-speed GenAI/HPC fabrics and networking (InfiniBand and/or RoCE)”

Things to consider

This role demands significant 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 deployment projects”
Candidates must be prepared to work directly with enterprise clients in a highly hands-on environment
— “This role is highly hands-on and customer-facing, supporting onsite deployments across the U.S.”

How to stand out

Highlight experience with Linux performance tuning and benchmarking in your resume and interview responses
— “Configure, harden, and optimize Linux operating systems (RHEL, Ubuntu, Rocky) tailored for GenAI and HPC workloads”
Emphasize your ability to produce detailed documentation and performance reports
— “Produce detailed as-built documentation, performance verification reports, and adhere to deployment operational best practices”
Showcase your hands-on troubleshooting skills with hardware and network components
— “Diagnose hardware and network components to ensure optimal performance of AI and HPC infrastructure”
Demonstrate familiarity with containerization and workload orchestration platforms like Slurm and Kubernetes
— “Hands-on experience with containerization and workload orchestration platforms (Docker, Singularity/Apptainer, Slurm, or Kubernetes)”

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

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

What success looks like

successful deployment of HPC and GenAI solutions
optimal performance of AI and HPC infrastructure

Typical background

HPCGenAILinux systems administration

Skills & requirements

Required

HPCGPU DeploymentLinux Performance TuningCluster DeploymentBenchmarking

Preferred

ContainerizationWorkload OrchestrationGPU Observability

Stack & domain

GPU Accelerated SystemsLinux Performance TuningCluster DeploymentNvidia Base Command ManagerMulti-node TestingBenchmarkingHardware And Network TroubleshootingLinux Operating SystemsContainerizationWorkload OrchestrationHigh-speed Genai/hpc Fabrics And NetworkingGPU Observability And Performance ProfilingTechnical TroubleshootingCommunicationCustomer-facing SkillsRhcsaHPCGenaiGPULinuxNetworking

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 Chicago, IL
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