Senior GenAI & High Performance Computing (HPC) Delivery Engineer

Dell Technologies

Atlanta, GA

On-site

Who this role is best for

Geared toward candidates with deep technical expertise in GPU systems and HPC environments, comfortable with onsite customer deployments and benchmarking.

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.”
Individuals with strong Linux performance tuning skills and experience with RHEL, Ubuntu, or Rocky
— “Configure and secure RHEL, Ubuntu, Rocky for GenAI or HPC workloads”
Professionals with experience in benchmarking and testing multi-GPU systems at scale
— “help build, integrate, and test some of the world’s largest multi GPU systems”

Things to consider

The role requires up to 70% travel across the U.S., which may not suit candidates preferring remote work
— “Ability to travel up to 70% of the time across the U.S. as needed for projects”
Candidates should be prepared for a high level of technical responsibility and collaboration with teams
— “You will work as a part of a team to help build, integrate, and test some of the world’s largest multi GPU systems”

How to stand out

Highlight documented experience with HPL, STREAM, and NCCL benchmarking in your resume and interviews
— “Perform benchmarking with HPL GPU, HPL MxP, STREAM, NCCL, RCCL, OSU Microbenchmarks”
Emphasize your ability to produce as-built documentation and share best practices with teams
— “Produce as-built documentation, performance reports, and share best practices amongst the team”
Demonstrate a track record of deploying and validating GPU accelerated compute clusters with NVIDIA Base Command Manager
— “Deploy, configure, and validate GPU accelerated compute clusters for AI, ML, and HPC with NVIDIA Base Command Manager”

Pace · Fast PacedCollaboration · MediumAutonomy · MediumDecision Impact · Individual

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

What success looks like

deploying GPU accelerated compute clusters
benchmarking multi GPU systems
producing performance reports

Typical background

HPC or GenAI clustersGPU based systems

Skills & requirements

Required

GPU DeploymentLinux Performance TuningBenchmarkingConfigurationCustomer Support

Preferred

Nvidia CertificationsGPU ObservabilityHybrid Cloud Environments

Stack & domain

GPU Accelerated SystemsLinux Performance TuningBenchmarkingNvidia Base Command ManagerRed Hat CertificationGenai/hpc NetworkingLinux Based Parallel Computing EnvironmentsContainers/orchestrationDockerSingularity/apptainerKubernetesSlurmCustomer FacingCommunicationRhcsaRHCEGenaiHPCGPULinux

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 Atlanta, GA
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