We are looking for an experienced and hands-on Radar Algorithm Engineer to join the development of our high-frequency MIMO radar product line for safety-critical railway applications.

You will be responsible for developing, implementing, and validating advanced radar signal processing algorithms, working closely with RF, embedded software, hardware, and system engineers to deliver robust, high-performance radar systems.

This is a full-time, hybrid role based primarily in Rehovot, Park HaMada, conveniently located next to the train station.

This role is ideal for an engineer with strong radar fundamentals, practical algorithm development experience, and the ability to take research ideas from concept to real-world implementation.

What You’ll Be Doing:

·        Develop and implement advanced radar signal processing algorithms for high-frequency MIMO radar systems.

·        Work on spatial processing, angle estimation, beamforming, detection, parameter estimation, and target characterization.

·        Analyze radar data from lab, field, and railway environments to improve system performance and robustness.

·        Design and validate algorithms for safety-critical Smart Mobility applications, including object detection and scene understanding.

·        Work closely with RF engineers on waveform design, antenna configuration, calibration, and RF system behavior.

·        Collaborate with embedded software engineers to support real-time implementation and integration of radar algorithms.

·        Support system integration, field testing, debugging, and performance evaluation.

·        Develop simulation, analysis, and visualization tools in Python.

·        Translate research concepts into practical algorithms that can run in real radar systems.

·        Participate in defining radar processing architecture, performance metrics, and validation methodologies

Requirements:

·        Bachelor’s degree in electrical engineering, Mathematics, Physics, or a related engineering field.

·        3+ years of hands-on experience in radar signal processing, including spatial processing, parameter estimation, and advanced radar algorithm development.

·        Strong understanding of radar processing fundamentals, including detection, estimation, tracking concepts, and signal analysis.

·        Proven experience developing and implementing algorithms in Python.

·    Practical experience with radar data analysis, visualization, and real-time or offline processing workflows.

·        Experience with ML/DL based radar perception, and radar-based classification - advantage

·        Experience working in automotive systems, robotics, defense, mobility, smart infrastructure, or safety-critical systems - advantage.

Skills

·        Applied engineering mindset — able to turn real-world sensing challenges into practical, testable, and deployable solutions.

·        Independent, accountable, and proactive, with a strong “own-it” mindset.

·        Strong problem-solving skills and a structured approach to debugging and validation.