Senior GenAI & High Performance Computing (HPC) Delivery Engineer

Dell Technologies

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Boston, MA
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. This hands-on, customer-facing role involves deploying, configuring, and validating GPU accelerated compute clusters for AI, ML, and HPC workloads. You will perform benchmarking using HPL GPU, HPL MxP, STREAM, NCCL, RCCL, and OSU Microbenchmarks while producing as-built documentation and performance reports. Technical requirements include proficiency with NVIDIA Base Command Manager, RHEL, Ubuntu, and Rocky Linux. You must possess experience with InfiniBand, RoCE, and container orchestration tools like Docker, Singularity, and Kubernetes. The role focuses on solving infrastructure challenges for GenAI Factory systems, specifically managing GPU-based systems and Linux performance tuning 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 HPC and GenAI solutions.
  • Build, 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, or AI infrastructure.
  • 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 Red Hat distributions.
  • Experience with GenAI/HPC networking including InfiniBand and/or RoCE.
  • Experience with Linux-based parallel computing environments at scale and containers/orchestration tools like Docker, Kubernetes, or Slurm.
  • Ability to travel up to 70% of the time across the U.S. for onsite customer projects.
  • Bachelor’s degree (preferred); NVIDIA certifications (NCA, NCE, DGX) (preferred).

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