Scientist/Engineer – NextG O-RAN and RFML (Multiple Levels) ANDRO Computational Solutions, LLC

ANDRO Computational Solutions, LLC; City of Rome (NY); On-site; USD 100,000 - 130,000; Full time

Job summary

ANDRO Computational Solutions, LLC is seeking candidates with hands-on experience in Open Radio Access Network (O-RAN) and Radio Frequency Machine Learning (RFML) solutions. The selected candidate will work at the Marconi-Rosenblatt AI Innovation Lab, focusing on innovative machine learning and security solutions for wireless technologies.

Applicants should possess strong proficiency in C/C++ and Python, alongside experience with relevant technologies. A passion for solving challenging wireless problems is essential.

Qualifications

• Hands-on experience with O-RAN.
• Background in Radio Frequency Machine Learning (RFML) concepts and systems.
• Proficiency in C/C++ and Python.

Responsibilities

• Design solutions for NextG networks and RFML solutions.
• Develop cutting-edge machine learning and security solutions for wireless technologies.

Skills

O-RAN

C/C++

Python

Radio Frequency Machine Learning (RFML)

Tools

Software defined radios

OpenAirInterface (OAI)

srsRAN

Job description

Job Description

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

• Experience developing on Software defined radios.
• Previous experience with open‑source cellular software libraries such as OpenAirInterface (OAI) and srsRAN.
• Knowledge of Zero Trust Principles.
• Experience developing r/xApps.
• 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. Person or U.S. Citizen