GenAI & High Performance Computing Delivery Engineer

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 Denver, Colorado

Responsibilities

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.)

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

• 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