We’re looking for a Deep Learning Algorithm Engineer to join a cutting-edge team driving R&D innovation in signal processing and radar-based systems. In this role, you will lead the end-to-end development of deep learning models, from data strategy and model training to deployment in real-world defense applications.

Responsibilities include:

• Design and implement state-of-the-art DL algorithms for diverse data formats, including 2D spectral representations, 3D point clouds etc.
• Develop scalable pipelines for training, evaluation, data labeling and preprocessing
• Train and optimize models using frameworks like PyTorch/TensorFlow
• Conduct literature reviews and stay on top of the latest AI trends
• Prepare models for integration and deployment in production environments

Requirements:

• 2+ years of industry experience in Deep Learning with a strong focus on Signal Processing or Computer Vision (must)
• B.Sc. in Electrical Engineering, Physics, or a related field (M.Sc. or Ph.D. is a plus).
• Solid foundation in signal processing
• Experience with radar signal processing (advantage)
• Proficiency in Python and major DL frameworks
• Excellent analytical thinking and problem-solving
• Independent and proactive