Senior Engineer - 5G Systems Engineer
Core
Characterize and optimize 5G/5G-Advanced/LTE network performance, debug air-interface and core-network issues, and develop AI/ML models for network data analysis.
Role type
Senior 5G Systems Engineer (Wireless Networks & Machine Learning)
Builds
Production ML models for network optimization, network performance reports, and technical documentation
Domain
Telecommunications (5G/6G/LTE) + Machine Learning
Deliverable
production ML models
Required skills
5G NR/5G-Adv/LTE PHY/MAC/upper layers, RF and OTA parametric optimization, network planning and capacity estimation, Python scripting, Machine Learning fundamentals (Neural Networks, CNNs, RNNs), statistical analysis, data visualization
Preferred skills
3GPP protocol standards expertise, experience with ORAN/vRAN/private networks, proficiency in TensorFlow/PyTorch/Scikit-learn, knowledge of big data frameworks (Hadoop/Spark), background in digital communications and wireless propagation
Technologies
Python, TensorFlow, Keras, PyTorch, Scikit-learn, Pandas, NumPy, MATLAB, C/C++, Hadoop, Spark, Atoll, Asset3G, iBwave, QXDM, DATUM, Accuver, TEMS, Ethereal, Actix, Agilent, R&S, Spirent, PCtel
Responsibilities
Interact with wireless operators to investigate and characterize 5G/5G-Adv/LTE network performance; contribute to projects in advanced topics such as ORAN/vRAN and fixed wireless access; perform RF and OTA parametric optimization and troubleshooting; conduct RF network planning including propagation model calibration and link budget definition; use simulation platforms to develop solutions for network performance; develop white papers and technical presentations on wireless technologies; use data analytics and ML techniques for ESG service portfolio enhancement
Seniority
Senior, hands-on IC
