DSP Engineer, Drone RF Sensing & Geolocation

Quadsat; Odense, Nordfyns Kommune; On-site; DKK 750,000 - 1,000,000; Full time

Job summary

Quadsat is seeking an experienced Digital Signal Processing Engineer to join the RF team in Odense, Denmark, working on SpectraLoc, a defense product for detection, analysis, and geolocation of RF emitters.

You will design and implement DSP algorithms for signal classification, interference detection, and geo-localisation within SDR systems, collaborating with RF, software, embedded, FPGA, and product teams to improve sensing performance and robustness.

Qualifications

• Bachelor's or Master's in Electrical/Computer Engineering, or related field.
• Hands-on experience developing and validating DSP algorithms on real RF data.
• Proactive, independent worker with ability to collaborate across RF, software and hardware teams.

Responsibilities

• Design, prototype, and validate DSP algorithms for RF signal classification and interference detection.
• Develop concepts, reference implementations, and validation tools in Python or MATLAB.
• Work with recorded and live RF data to evaluate performance under noise and interference.
• Contribute to direction finding and RF sensing methods (AoA, TDOA, interferometry, beamforming).
• Define test methods, metrics, and acceptance criteria for DSP algorithms.
• Collaborate with software, embedded, FPGA, and RF engineers to transition algorithms to product-ready implementations.
• Provide technical leadership to improve DSP development and validation quality.

Skills

DSP

Python

MATLAB

C/C++

RF

SDR

AoA

TDOA

Education

Bachelor's degree in Electrical Engineering

Master's degree in Electrical Engineering

Tools

Python

MATLAB

C/C++

FPGA

Job description

Quadsat is seeking an experienced Digital Signal Processing Engineer to join the RF team in Odense, Denmark, working on SpectraLoc, a defense product for detection, analysis, and geolocation of RF emitters.

You will design and implement DSP algorithms for signal classification, interference detection, and geo-localisation within SDR systems, collaborating with RF, software, embedded, FPGA, and product teams to improve sensing performance and robustness.