Radar Engineer

This role owns the radar layer of a counter-drone system, from testing sensors on the bench and range to writing the C++ and Python software that feeds detections and tracks into the wider platform. A strong candidate has about five years of hands-on radar work across more than one vendor, has taken an integration all the way to field use, and knows tuning topics like CFAR, clutter handling and target tracking well. Comfort with lab gear, networking and long days on the range matters as much as the theory. How it fits the AI era AI is mostly found downstream of this job, where the company's detection and fusion software uses radar tracks to find and engage small drones. Better radar data tuning and cleaner tracks directly improve what those AI systems can do. What stays human is the judgment about why a sensor misbehaves in real clutter, deciding what to trust, and diagnosing problems from the RF front end up through the software. How it builds AI experience The work puts radar next to acoustic and camera based detection in a system built around AI powered interception, so there is real exposure to multi sensor fusion and edge computing. Someone could build that experience by practicing with radar tracks combined with other sensor data, and by learning how detection quality limits what AI models can do. Lab equipment with edge compute modules gives a place to try ideas quickly. Worth showing C++ and Python on Linux Multi-target tracking and fusion Range test and validation This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role. About 9 Mothers 9 Mothers manufactures artificial intelligence point defense systems and kinetic counter-drone turrets to neutralize uncrewed aerial threats in contested defense environments. #J-18808-Ljbffr