DSP Engineer: RF Sensing & Geolocation for SDRs

Quadsat ApS; Lumby Torp; On-site; DKK 850,000 - 1,100,000; Full time

Job summary

Quadsat is seeking an experienced Digital Signal Processing Engineer to join our RF team, focusing on DSP algorithms for signal classification, interference detection, and geolocation within SDR systems. You will collaborate with RF, software, embedded, FPGA, and product teams to deliver robust sensing capabilities for SpectraLoc.

The role emphasizes hands‑on development in Python or MATLAB, validation on real RF data, and leadership within DSP RF sensing.

Qualifications

• Hands-on experience developing and validating DSP algorithms on real RF data.
• Strong practical experience with DSP for RF and SDR systems.
• Ability to develop, prototype, and validate DSP algorithms in Python or MATLAB.

Responsibilities

• Design, prototype, and validate DSP algorithms for RF signal classification, interference detection, demodulation, signal analysis, and geo-localization within SDR systems.
• Develop algorithm concepts, reference implementations, and validation tools in Python, MATLAB, or similar environments.
• Collaborate with RF, software, embedded, FPGA, and product teams to transition validated algorithms into product-ready implementations.
• Provide technical leadership within DSP and RF sensing to improve algorithm development and validation methodologies.

Skills

DSP development

Python

MATLAB

Signal processing

Education

Bachelor’s or Master’s in Electrical Engineering

Tools

C/C++

Python

MATLAB

Job description

Quadsat is seeking an experienced Digital Signal Processing Engineer to join our RF team, focusing on DSP algorithms for signal classification, interference detection, and geolocation within SDR systems. You will collaborate with RF, software, embedded, FPGA, and product teams to deliver robust sensing capabilities for SpectraLoc.

The role emphasizes hands‑on development in Python or MATLAB, validation on real RF data, and leadership within DSP RF sensing.