GenAI & High Performance Computing (HPC) Delivery Engineer

Dell Technologies

Texas, TX

Career-pivot friendly

Who this role is best for

Aimed at experienced engineers with HPC or GenAI expertise who can work hands-on with GPU systems and travel extensively.

Best fit for

Candidates with hands-on experience in deploying and benchmarking multi-GPU systems for AI and HPC workloads
— “build, integrate, and test large-scale multi-GPU systems, benchmark them using industry-standard tools”
Individuals with strong Linux systems administration background and a focus on performance optimization
— “Configure, harden, and optimize Linux operating systems (RHEL, Ubuntu, Rocky) tailored for GenAI and HPC workloads”
Professionals who thrive in customer-facing roles and can manage on-site deployment projects across the U.S.
— “Work directly with enterprise customers onsite (travel both regionally and across the U.S.)”

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.
— “travel both regionally and across the U.S.”
The position requires a solid foundation in GPU interconnects and high-speed networking protocols
— “Validate GPU interconnects and fabric health; troubleshoot hardware, component, and network issues”

How to stand out

Highlight experience with NVIDIA Base Command Manager and cluster benchmarking tools in your resume and interview responses
— “Deploy, configure, and validate GPU-accelerated compute clusters for AI, ML, and HPC using NVIDIA Base Command Manager”
Emphasize your ability to produce detailed documentation and follow operational best practices
— “Produce detailed as-built documentation, performance verification reports, and adhere to deployment operational best practices”
Demonstrate your ability to troubleshoot and resolve complex hardware and network issues during deployments
— “diagnose hardware and network components to ensure optimal performance of AI and HPC infrastructure”

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

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

What success looks like

deploying and configuring GPU-accelerated compute clusters
benchmarking AI and HPC infrastructure

Typical background

5+ years of experience with HPC or GenAI clusters, GPU-based systems, AI infrastructure

Skills & requirements

Required

GPU DeploymentSystem ConfigurationMulti-node TestingLinux Performance TuningCluster Deployment

Preferred

Nvidia Technical CertificationsHybrid Cloud Infrastructure

Stack & domain

GPU DeploymentSystem ConfigurationMulti-node TestingLinux Performance TuningCluster DeploymentBenchmarking ToolsContainerizationWorkload OrchestrationTroubleshootingCommunicationCustomer-facingRhcsaNCANCEDGXAI InfrastructureHPCGenaiGpu-accelerated Compute Clusters

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 Texas, United States
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