Edge SAR ML Engineer - GPU-Accelerated RF/ML
Listed on 2026-10-18
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Engineering
AI Engineer (Applied/Software)
The Johns Hopkins University Applied Physics Laboratory (APL) invites applications for an entry-level engineer or scientist to grow RF/ML capabilities, focusing on SAR processing for GPU-enabled edge hardware and ML workflows from data curation to deployment.
You will work with mentors to profile and optimize performance under edge constraints, build datasets, train models, and transition prototypes into robust, tested implementations while learning RF, SAR, and edge ML methods.
Are you ready to take on the Edge SAR ML Engineer - GPU-Accelerated RF/ML role at Johns Hopkins Applied Physics Laboratory?
We are looking to fill the Edge SAR ML Engineer - GPU-Accelerated RF/ML position at Johns Hopkins Applied Physics Laboratory in Laurel, MD, United States.
The Edge SAR ML Engineer - GPU-Accelerated RF/ML role at Johns Hopkins Applied Physics Laboratory is now open for applications in Laurel, MD, United States.
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