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PRODID:Linklings LLC
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DTSTAMP:20260202T201220Z
LOCATION:Hall 6
DTSTART;TZID=America/Chicago:20251117T161000
DTEND;TZID=America/Chicago:20251117T161000
UID:submissions.supercomputing.org_SC25_sess553_job134@linklings.com
SUMMARY:HPC Kubernetes Engineer
DESCRIPTION:The Position\nWe are seeking a highly skilled Senior Kubernete
 s Engineer to join our HPC and Infrastructure function in Dallas. In this 
 role, you will design, implement, and optimize GPU-accelerated container p
 latforms at scale, enabling high-performance workloads (AI/ML, HPC, LLM tr
 aining) across hybrid or on-prem environments. You will have deep expertis
 e with both NVIDIA and Kubernetes ecosystems, including GPU scheduling, de
 vice plugins and custom operators.\n\nResponsibilities:\nArchitecting and 
 operating Kubernetes clusters optimised for GPU workloads, leveraging NVID
 IA GPU Operator, Network Operator and DCGM\nDeveloping, deploying and main
 taining custom Kubernetes operators and controllers to automate infrastruc
 ture services\nIntegrating NVIDIA device plugins, Multi-Instance GPU (MIG)
  and GPU sharing features into the scheduling layer\nOptimizing GPU utiliz
 ation and job placement through scheduler extensions, such as kube-schedul
 er plugins, Slurm and Volcano\nCollaborating with HPC, ML and DevOps teams
  to ensure multi-tenant, high-throughput cluster performance\nDriving obse
 rvability and telemetry integrations using Prometheus, Grafana, DCGM Expor
 ter and OpenTelemetry\nImplementing secure multi-user and multi-namespace 
 GPU isolation, with RBAC and policy enforcement, such as OPA or Gatekeeper
 \nMaintaining CI/CD pipelines for Kubernetes infrastructure using GitOps, 
 ArgoCD and FluxCD\nContributing to infrastructure-as-code, using Terraform
 , Helm, and Kustomize\nParticipating in performance tuning, incident respo
 nse and production readiness reviews\n\nRegistration Category: Technical P
 rogram Reg Pass, Workshop Reg Pass, Tutorial Reg Pass, Exhibits Reg Pass\n
 \nCountry: United States of America\n\nCompany: NorthMark Compute and Clou
 d\n\nIn-Person / Remote: In-person\n\nPart Time / Full Time: Full Time\n\n
 Position Type: Permanent\n\n
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