We are building a compact, high-performance radar system designed to detect and track small UAVs in complex environments, including low altitude, cluttered, and urban terrain. 

As a Radar Systems Engineer, you will take ownership of radar architecture, signal processing design, and real-world validation — from theoretical modeling to field deployment. You will work across RF, embedded, and FPGA domains to develop robust detection and tracking capabilities for low-RCS targets in challenging operational conditions. 

This role offers the opportunity to design radar systems at the architecture level and rapidly transition from simulation to live field testing. 

Key Responsibilities 

• Design and define radar system architecture (FMCW, Pulse-Doppler, or MIMO) 
• Develop range-Doppler processing pipelines 
• Implement CFAR algorithms, clutter suppression techniques, and tracking filters 
• Extract and analyze micro-Doppler signatures for UAV classification 
• Optimize detection performance for low-RCS targets (<0.1 m²) 
• Support RF front-end and antenna design decisions 
• Deploy radar prototypes and conduct live detection trials 
• Contribute to system validation, performance analysis, and iterative improvements 

Job Requirements

• Strong foundation in radar theory and signal processing 
• Experience working with FMCW or pulse radar systems 
• Proficiency in MATLAB and/or Python for modeling and algorithm development 
• Solid understanding of Doppler processing, RCS, SNR, and clutter modeling 
• Ability to work across RF, embedded, and FPGA teams in a multidisciplinary environment 
• Hands-on mindset with the ability to move from simulation to real-world validation 

Skills & Abilities Required 

• Radar architecture design (FMCW, Pulse-Doppler, MIMO) 
• Range-Doppler processing 
• CFAR and detection algorithms 
• Clutter suppression and tracking filters 
• Micro-Doppler analysis and target classification 
• Signal processing and performance optimization 
• Cross-functional collaboration (RF, FPGA, embedded systems) 

Additional assets: 

• Experience with MIMO radar or beamforming 
• Background in automotive radar systems (12 / 24 / 77 GHz) 
• Experience in micro-Doppler-based target classification