Radar Systems Engineer

KRUSH Labs B.V.

Eindhoven, North Brabant, Netherlands Hybrid permanent

Posted: February 18, 2026

Job Description

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

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

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