Description

You will perform end-to-end engineering, modeling, and analysis of wireless networks using massive datasets.

This role is hybrid.

Responsibilities

• Develop data-driven models for LTE and 5G systems, including handover optimization.
• Analyze large-scale data collected from wireless networks using distributed computing.
• Implement positioning algorithms and map visualization tools.
• Collaborate with engineering teams to develop, deploy, and troubleshoot complex systems.
• Communicate technical results and findings to management.

Required Skills

• 5+ years of experience in wireless system engineering.
• Strong understanding of LTE and 5G technologies and wireless network architecture.
• Experience with network simulators such as ns3, OMNeT++, or OPNET.
• Proficiency in Python, C, or C++ for distributed computing.
• Experience with GCP and Big Query.
• Proficiency with Git or GitLab.
• Knowledge of LLMs, RAG systems, Transformer architecture, and Deep Neural Networks.
• Experience with CUDA and Reinforcement Learning.
• Solid background in mathematics regarding ML algorithms and optimization methods.

Preferred Skills

• Knowledge of mathematical optimization, probability, and statistical methods.
• Experience implementing Python-based web applications and data visualization.
• Experience with AWS, Stable Diffusion, GANs, and location-based services.

Key Skills

Education

Any Graduate