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.)

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

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

GPU deploymentconfigurationmulti-node testingbenchmarking toolsHPLSTREAMNCCLRCCLLinux based parallel computingcontainers/orchestration

Soft Skills

customer facing skillscommunication skills

Certifications

Red Hat certificationRHCSARHCE