Communication PHY Algorithms Engineer

At D-Fend Solutions, our people are our greatest strength — and technology is our passion. Our team of innovators and subject matter experts, including veterans of elite military intelligence technology units, is transforming the way organizations protect themselves from drone threats.
As the global leader in cyber-takeover counter-drone technology, we design and deliver advanced, software-defined solutions that empower our customers to detect, take control, and safely land unauthorized drones — with precision and reliability.
Every day, we push the boundaries of innovation to meet real-world security challenges across industries and environments. We’re proud of our cutting-edge technology, our global reach, and the impact we make in securing the skies.
We’re seeking passionate professionals who thrive in a fast-paced, creative, and collaborative environment — those who want to be part of the next generation of airspace security innovation.
**Join D-Fend Solutions and help make the world a safer place.**Become a D-Fender! Work with the world’s leading cyber-takeover counter-drone technology provider and shape the future of safe airspace.
Scope: We are seeking a highly skilled Senior Communication PHY Algorithms Engineer. This senior role is focused on the end-to-end research, design, and implementation of  digital receivers for proprietary drone communication signals.

Responsibilities:

• Mathematically characterize complex communication and signal detection problems. Analyze and assess design trade-offs based on both performance metrics and implementation complexity.
• Develop and maintain simulations using MATLAB and Python.
• Design digital receiver modules to be implemented either by FPGA of SW.
• Implement features directly in SW or technically lead and verify the FPGA implementation efforts of the FPGA engineer.
• Accompany the integration process of the feature until its end-to-end operation.

Key Qualifications:

• M.Sc. or Ph.D. in Electrical Engineering (EE) from a top-tier university, specializing in Digital Signal Processing (DSP) and Communication
• Minimum 10 years of experience in research and design of wideband wireless communication algorithms.
• Strong analytical skills with proven ability to mathematically characterize and solve detection and communication problems.
• System-level understanding of wireless communication, including RF, Analog, and Digital domains.
• Proficiency in MATLAB and Python programming.
• Hands-on experience in large-scale Software (SW) development projects.