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AxleAxle

Lead Scientific Imaging Systems Engineer

Leads end-to-end infrastructure for a scientific imaging platform, covering Linux administration, GPU/HPC systems, storage, upgrades, and vendor coordination. The role supports AI-enabled imaging workflows and requires extensive production Linux, Image Artist, GPU, HPC, and enterprise storage experience.

About the job

Responsibilities

  • Standardize server configurations and Signals Image Artist deployments across sites, establishing documented production and development baselines.
  • Plan and execute vendor-supported Image Artist upgrades for server and client components.
  • Coordinate with vendors to resolve upgrade blockers and document release risks and benefits.
  • Install, configure, and troubleshoot NVIDIA/CUDA driver stacks and GPU compute nodes.
  • Support HPC cluster integration and resolve infrastructure compatibility issues.
  • Enable AI-based imaging analysis tools, including Phenologic AI, and benchmark GPU versus non-GPU performance.
  • Lead large-scale data migrations between environments.
  • Troubleshoot iSCSI/LUN issues and NetApp storage connectivity while minimizing downtime and data loss.
  • Apply operating-system patches, endpoint protection updates, and vendor mitigations across the fleet.
  • Own vendor support tickets and escalations and serve as the technical liaison for platform status and upgrade planning.
  • Maintain runbooks, upgrade documentation, and equipment inventories.
  • Deliver regular reports on platform health and progress.

Requirements

  • Extensive production or enterprise Linux administration experience, including SLES and/or RHEL.
  • Direct experience installing, upgrading, and supporting Signals Image Artist or comparable high-content imaging analysis platforms.
  • Experience managing client/server version compatibility.
  • Working knowledge of NVIDIA/CUDA driver stacks, GPU hardware troubleshooting, and HPC scheduling concepts.
  • Experience with enterprise storage protocols and diagnosing production server storage and network connectivity issues.
  • Ability to manage and resolve technical issues through formal hardware and software vendor support channels.
  • Documentation-driven approach to change management, including staged upgrade paths, risk assessments, and rollback planning.

Compensation and Benefits

  • Base salary: $120,000–$145,000 USD annually.
  • 100% employee medical, dental, and vision coverage.
  • Paid time off and holidays.
  • 401(k) match up to 5%.
  • Educational benefits for career growth.
  • Employee referral bonus.
  • Flexible spending accounts for healthcare, parking, dependent care, and transportation.

Skills

Linux, Sles, Rhel, Signals Image Artist, Nvidia Cuda, Gpu Computing, Hpc, Hpc Scheduling, Iscsi, Netapp, Storage Networking, Change Management

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