Scientist

Seeking candidates with hands-on Open Radio Access Network (O-RAN) experience to design solutions for NextG networks and design Radio Frequency Machine Learning (RFML) solutions. The position will involve developing cutting-edge machine learning and security solutions for wireless technologies including but not limited to Beyond 5G (B5G) at ANDRO’s Marconi-Rosenblatt AI Innovation Lab. If you are self-motivated and passionate about solving some of the toughest problems in the wireless domain, this is for you! Required Skills: Knowledge and experience with O-RAN Background in Radio Frequency Machine Learning (RFML) concepts and systems. Strong proficiency in C/C++ and Python. Preferred Skills: Previous experience with open-source cellular software libraries such as OpenAirInterface (OAI) and srsRAN. Knowledge of Zero Trust Principles. Strong grasp of machine learning and applied hardware-based RFML experience is a plus. Knowledge of SMP safe programming, real-time system optimizations, parallel processing, embedded programming, API interfacing, etc., in C, C++ and Python. Track record of research excellence and high-quality publications is a plus. Other Requirements: U.S. Citizenship and Ability to obtain a U.S. Government Security Clearance #J-18808-Ljbffr ANDRO Computational Solutions, LLC