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Radar Systems Engineer

Jobs

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.

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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