Communication PHY Algorithms Research Engineer

A global technology company is developing advanced RF-based cyber solutions for counter-drone and airspace security applications in complex and sensitive environments. Its technology enables organizations to maintain control, safety, and operational continuity during unauthorized drone incidents.

The company’s teams include experienced professionals and subject-matter experts working on cutting-edge wireless communication, RF, modem, DSP, and cyber-based product technologies. This is an opportunity to join a fast-moving, innovative, and collaborative R&D environment focused on solving real-world security challenges.

The role is part of a growing modem research team responsible for analyzing proprietary wireless communication signals and designing modulators and demodulators as part of an advanced counter-drone product.

Responsibilities

• Research and analyze proprietary wireless communication signals using sampled data and advanced PHY algorithms.
• Define radio characteristics such as sample rate, modulation scheme, error correction, spreading techniques, and additional PHY parameters.
• Implement and simulate full modem concepts using MATLAB or Python.
• Design, analyze, and optimize PHY algorithms for performance, robustness, and product integration.
• Guide and support FW, DSP, and FPGA teams during concept implementation, integration, and debug.
• Analyze and debug PHY algorithm behavior and drive continuous performance improvements.

Required Qualifications

• M.Sc. or Ph.D. with specialization in communications, or B.Sc. in Electrical Engineering / Communications with relevant experience- must.
• At least 3 years of experience in algorithm development and design of high-speed modems or radio-based products- must.
• Strong experience with PHY algorithms and communication systems- must.
• Deep understanding of digital signal processing, RF fundamentals, and communication theory- must.
• Experience with MATLAB or Python- must.
• Experience in OFDM signal design- must.
• Independent, self-motivated, and able to work on multiple tasks in a fast-paced R&D environment

CV to: [email protected]