We are seeking a
Lead Scientific Imaging Systems Engineer to own our Signals Image Artist platform infrastructure end to end - across Linux server administration, GPU/HPC infrastructure, storage, and vendor-facing upgrade planning. You will manage a multi-server SImA deployment, lead its ongoing standardization and upgrade to current vendor-supported versions, and enable advanced imaging analysis capabilities (including AI-based analysis modules and GPU-accelerated workflows) for research teams who depend on it daily.
Required Skills:- Systems Administration Expertise: Extensive hands-on experience administering Linux servers and workstations in a production research or enterprise setting, including SLES and/or RHEL.
- Image Artist / Scientific Imaging Platform Experience: Direct experience installing, upgrading, and supporting Signals Image Artist or comparable high-content imaging analysis platforms, including client/server version management.
- GPU & HPC Proficiency: Working knowledge of NVIDIA/CUDA driver stacks, GPU hardware troubleshooting, and HPC scheduling concepts.
- Storage & Networking Fundamentals: Experience with enterprise storage protocols and diagnosing storage/network connectivity issues on production servers.
- Vendor Support Management: Demonstrated ability to open, manage, and resolve technical issues through formal vendor support channels (hardware and software vendors alike).
- A Reliability Mindset: A disciplined, documentation-driven approach to change management - staged upgrade paths, risk assessments, and rollback planning before touching production systems.
Responsibilities:- Standardization - Assess and align server configurations and Image Artist deployments across all sites to establish consistent, well-documented production/dev environments and baselines.
- Upgrade Leadership - Plan and execute vendor-supported Image Artist upgrades (server + client side), working directly with vendors to resolve blockers and documenting the risk/benefit case for each release.
- GPU/HPC Infrastructure - Install, configure, and troubleshoot NVIDIA/CUDA driver stacks and GPU compute nodes, resolving compatibility issues and supporting HPC cluster integration.
- AI/Advanced Imaging Enablement - Support rollout of AI-based analysis tools (e.g., Phenologic AI) and benchmark performance across GPU vs. non-GPU setups.
- Data Migration & Storage - Lead large-scale data migrations between environments, including iSCSI/LUN troubleshooting and NetApp storage connectivity, minimizing downtime/data loss.
- Security & Compliance - Apply OS patches, endpoint protection updates, and vendor mitigations fleet-wide to maintain supportable states.
- Vendor/Stakeholder Management - Own support tickets and escalations; act as the technical liaison for platform status and upgrade planning.
- Documentation & Reporting - Maintain runbooks, upgrade documentation, and equipment inventories; deliver regular status reports on platform health and progress.
Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.
This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location.
Salary Range
$120,000-$145,000 USD
