Senior GenAI & High Performance Computing (HPC) Delivery Engineer

Dell Technologies•Austin, TX

7d•Hybrid

About The Position

Dell Technologies is 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. The engineer will work as part of a team to help build, integrate, and test large multi-GPU systems, benchmark them using industry-standard tools, and deliver next-generation AI and HPC infrastructure.

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
Experience with containers/orchestration (Docker, Singularity/Apptainer, Kubernetes, Slurm)
Ability to travel up to 70% of the time across the U.S. as needed for projects
Strong customer facing and communication skills

Nice To Haves

Bachelor’s degree
NVIDIA certifications (NCA, NCE, DGX)
Experience with NVIDIA UFM, Infiniband, and SpectrumX fabrics
Exposure to hybrid cloud or GPU cloud environments
Experience with GPU observability/performance profiling tools

Responsibilities

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.)