Global Systems Integrator | Digital Maturity | Data Center Automation | Hybrid Multicloud | Anything-as-a-Service

Senior GenAI, High Performance Computing Delivery Engineer

EngineerEngineerFull TimeRemoteTeam 51-200H1B No SponsorCompany Site LinkedIn

Location

Texas

Posted

7 days ago

Salary

$153.9K - $199.1K / year

Bachelor Degree7 yrs expEnglishDockerKubernetesLinuxNode.js

Job Description

• 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.)

Job 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

Health insurance
Paid time off
Flexible work arrangements
Professional development

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