Senior GenAI & High Performance Computing (HPC) Delivery Engineer

Dell Technologies

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
AZ
Salary
$153,850–$199,100 / yr
Posted
2 days ago
Freshness
Confirmed live yesterday
Closes
Oct 26, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $199k
This role $176k
$143k $252k
below market most similar roles pay here above market

This role pays less than 70% of similar roles. Most pay $163,125–$235,750 — the blue band above. At the midpoint, this role pays about $176k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About Dell Technologies

Dell Technologies is a US-based technology company that designs and sells PCs, servers, storage and networking hardware, along with related software and IT services. Its product lines include the XPS, Latitude and Alienware PCs and the PowerEdge server and PowerStore storage families.

Dell Technologies currently has 95 open roles on FindRole.

Listed pay typically runs $172,000–$228,800 across 89 roles with salary data.

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At a glance

TL;DR · Senior GenAI & High Performance Computing (HPC) Delivery Engineer

The Senior GenAI & High Performance Computing (HPC) Delivery Engineer joins the Service Delivery Team to build, integrate, and test large multi-GPU systems for AI, ML, and HPC workloads. This hands-on, customer-facing role involves deploying and configuring GPU accelerated compute clusters, performing performance benchmarking, and producing as-built documentation. The engineer will utilize NVIDIA Base Command Manager, HPL GPU, STREAM, NCCL, RCCL, and OSU Microbenchmarks. Technical requirements include proficiency with RHEL, Ubuntu, and Rocky distributions, as well as experience with InfiniBand, RoCE, Docker, Singularity, Kubernetes, and Slurm. The role addresses the technical challenge of scaling end-to-end GenAI and HPC infrastructure, requiring deep expertise in Linux performance tuning, GPU deployment, and multi-node testing within large-scale parallel computing environments.

What you'll do

  • Deploy, configure, and validate GPU accelerated compute clusters for AI, ML, and HPC workloads.
  • Perform system benchmarking using tools such as HPL GPU, STREAM, NCCL, and OSU Microbenchmarks.
  • Configure and secure RHEL, Ubuntu, and Rocky Linux distributions for high-performance computing.
  • Produce as-built documentation, performance reports, and technical best practices for the team.
  • Work directly with customers onsite to support the deployment of advanced GenAI and HPC infrastructure.
  • Integrate and test large-scale multi-GPU systems using NVIDIA Base Command Manager.

What we're looking for

  • 7+ years of experience 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 including HPL, STREAM, NCCL, RCCL, MxP, and OSU Microbenchmarks.
  • Red Hat certification (RHCSA/RHCE) or 7+ years of experience with relevant Red Hat distributions.
  • Experience with GenAI/HPC networking (InfiniBand and/or RoCE) and Linux-based parallel computing environments at scale.
  • Experience with containers and orchestration tools such as Docker, Singularity/Apptainer, Kubernetes, and Slurm.
  • Ability to travel up to 70% of the time across the U.S. for onsite projects.
  • Bachelor’s degree (preferred); NVIDIA certifications (NCA, NCE, DGX) (preferred).

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