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HPC AI/ML Platform Engineer

TEKsystems•Seattle, WA
•$100 - $100•Remote

About The Position

TEKsystems Global Services is seeking experienced HPC AI/ML Platform Engineers to support one of the world’s largest AI compute environments. The team operates and scales multi-cloud infrastructure powering GPU-intensive model training, deep learning research, and production AI workloads across AWS, CoreWeave, GCP, OCI, and other emerging compute providers. This is not a traditional cloud infrastructure role; candidates should have hands-on experience supporting HPC, deep learning platforms, large-scale GPU environments, and AI/ML training infrastructure where performance, reliability, and resource utilization are mission critical. Engineers will provision and operate large-scale compute environments, manage Kubernetes-based infrastructure, optimize GPU resource allocation, support Slurm scheduling systems, and build automation to enable rapid AI platform growth. The role supports production environments for AI model development, training, and inference at significant scale. The position is a contract role based in Seattle, Washington, and is fully remote. The stated pay range is $100 per hour. The anticipated application deadline is November 6, 2026.

Requirements

  • At least 4 years supporting HPC, AI/ML infrastructure, machine learning platforms, or deep learning environments.
  • Proven experience supporting enterprise-scale High Performance Computing (HPC) environments.
  • Experience supporting AI/ML or deep learning infrastructure, including model training workloads.
  • Strong experience with distributed compute, GPU infrastructure, or large-scale training environments.
  • Hands-on Kubernetes experience at scale, including cluster lifecycle management, scheduler troubleshooting, node pool management, networking and CNI troubleshooting, and production upgrades across large fleets.
  • Terraform experience building and managing infrastructure through Infrastructure as Code.
  • Python experience for platform automation and operational tooling.
  • Working knowledge of EC2, S3, EFS, and FSx for Lustre.

Nice To Haves

  • Experience with Slurm job scheduling is strongly preferred.
  • Experience supporting ML training, inference, deep learning, large language model (LLM), or GPU-intensive workloads is preferred.

Responsibilities

  • Provision HPC infrastructure through CI/CD systems across AWS, CoreWeave, GCP, OCI, and additional cloud providers.
  • Operate and troubleshoot large-scale Kubernetes platforms supporting GPU-intensive workloads.
  • Manage or support Slurm-based job scheduling environments.
  • Define and maintain SLIs/SLOs, monitoring, alerting, incident response, and post-incident reviews.
  • Partner with Networking, Storage, Security, and AI/ML Platform teams.
  • Support environments where performance, cluster stability, and GPU utilization directly affect business outcomes.
  • Build automation and operational tooling to support AI platform growth.
  • Support AI model development, training, and inference workloads at significant scale.

Benefits

  • Medical, dental, and vision coverage, subject to eligibility and plan terms.
  • 401(k)/Roth retirement plan, subject to eligibility and plan terms.
  • Basic and supplemental life insurance and AD&D.
  • Short- and long-term disability coverage.
  • HSA and DCFSA.
  • Transportation benefits.
  • Employee Assistance Program.
  • Company-paid time off or state sick leave; available time off may depend on eligibility and program terms.
  • Critical illness, accident, and hospital coverage may be available.
  • Time off/leave, including PTO, vacation, or sick leave, may be available.

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