Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted yesterday

GenAI & High Performance Computing (HPC) Delivery Engineer

Dell99 open roles

Where
Chicago, IL, United States
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowGenAI & High Performance Computing (HPC) Delivery EngineerDell · Chicago, IL, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Dell's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

9.5% of postings close within 7 days. Measured by our own scanner across the market. Dell postings stay open a median of 5 days.

Share of postings closed within
  1. 1.8%1 day
  2. 4.0%3 days
  3. 9.5%7 days
  4. 15.5%14 days
  5. 33.9%30 days
This job: posted yesterday

Dell median: 5 days open

The posting

Job Description

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 Chicago, IL

Responsibilities

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.)

Qualifications

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

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Dell's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Dell's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Dell's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.