2026 Graduate - Synthetic Aperture Radar ML Engineer - Imaging Systems

Are you passionate about machine learning, edge processing, and synthetic aperture radar imaging?

Do you seek a position to apply your engineering skills in an innovative and collaborative laboratory environment?

If so, we are looking for someone like you to join our team at the Johns Hopkins University Applied Physics Laboratory (APL)!

We are seeking an entry-level engineer or scientist to support the growth of RF/machine learning capabilities. The selected candidate will contribute in two primary areas: optimization of SAR-related processing for GPU-enabled edge hardware, and support of machine learning workflows including curated dataset development, model training, evaluation, and deployment to edge devices. This role is intended for a candidate with strong technical fundamentals and the potential to grow into a broader RF/ML contributor through mentorship and hands-on experience. Deep SAR expertise is not required.

As a member o...