Senior GenAI & High Performance Computing (HPC) Delivery Engineer

Dell Technologies

Confirmed live today High trust

Remote

Quick summary

Work type: Remote
Location: New York, NY
Salary: $176,927–$228,965 / yr
Posted: 2 days ago
Freshness: Confirmed live today
Closes: Oct 26, 2026
Nearby: 99+ roles within 25 mi

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Competitive pay

How this pay compares to similar roles

Similar $199k

This role $203k

$146k $252k

below market most similar roles pay here above market

This role pays more than 54% of similar roles. Most pay $163,125–$235,750 — the blue band above. At the midpoint, this role pays about $203k versus about $199k for comparable roles.

Based on 240 similar postings.

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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

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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. Key responsibilities include performing benchmarking using HPL GPU, HPL MxP, STREAM, NCCL, RCCL, and OSU Microbenchmarks, while producing as-built documentation and performance reports. Candidates must possess deep experience with NVIDIA Base Command Manager, RHEL, Ubuntu, and Rocky distributions. Required technical skills include InfiniBand or RoCE networking, parallel computing, and container orchestration tools like Docker, Singularity, and Kubernetes. The role solves the technical challenge of delivering next-generation AI infrastructure by optimizing Linux performance and securing large-scale GPU-based systems for complex enterprise environments.

Skills

NVIDIA Base Command Manager HPC GenAI GPU Linux RHEL Ubuntu Docker Kubernetes Slurm Singularity Apptainer InfiniBand RoCE HPL STREAM NCCL RCCL OSU Microbenchmarks Warewulf OpenHPC NVIDIA UFM SpectrumX

What you'll do

Deploy, configure, and validate GPU accelerated compute clusters for AI, ML, and HPC workloads.
Perform system benchmarking using HPL GPU, HPL MxP, STREAM, NCCL, RCCL, and OSU Microbenchmarks.
Configure and secure RHEL, Ubuntu, and Rocky Linux environments for GenAI or HPC workloads.
Build, integrate, and test large-scale multi-GPU systems.
Produce as-built documentation, performance reports, and share technical best practices.
Work directly with customers onsite to support deployments across the U.S.

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 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 customer projects.
Bachelor’s degree (preferred); NVIDIA certifications (NCA, NCE, DGX) (preferred).