Lead Scientific Imaging & HPC Systems Engineer

Axle; Rockville (MD); On-site; USD 120,000 - 145,000; Full time

Benefits offered by this job

Medical Coverage

PTO & Holidays

401K match

Educational Benefits

Referral Bonus

FSAs

Job summary

Axle is seeking a Lead Scientific Imaging Systems Engineer to own 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

Qualifications

• Extensive Linux server/workstation administration in production environments.
• Experience installing/upgrading Signals Image Artist or similar platforms.
• Knowledge of NVIDIA/CUDA drivers, GPU hardware troubleshooting, and HPC concepts.
• Experience with enterprise storage protocols and connectivity issues.
• Ability to manage vendor support channels and document changes.
• Documentation-driven change management with risk assessments.

Responsibilities

• Standardize server configurations and Image Artist deployments across sites.
• Plan and execute vendor-supported upgrades for server and client sides.
• Install, configure and troubleshoot GPU compute nodes and CUDA stacks.
• Support AI-based imaging tools and benchmark GPU vs non-GPU setups.
• Lead large-scale data migrations and storage connectivity tasks.
• Apply patches and mitigations fleet-wide for security and compliance.
• Own tickets and act as liaison for platform status and upgrades.
• Maintain runbooks, upgrade docs, and inventories; report progress.

Skills

Systems Administration

Image Platform Experience

GPU & HPC Proficiency

Storage & Networking

Vendor Support Management

Reliability Mindset

Tools

SLES

RHEL

NetApp

iSCSI

NVIDIA CUDA

Job description

Axle is seeking a Lead Scientific Imaging Systems Engineer to own 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