Engineer, Radio Network Engineering

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The AI-for-RAN Specialist is responsible for designing, developing, deploying, and operationalizing AI-driven automation solutions that improve the performance, efficiency, and autonomy of the Radio Access Network (RAN). The role bridges traditional Ericsson RAN management platforms with Service Management and Orchestration (SMO) to enable intelligent, cloud-native, and standards-based network operations.

The incumbent will develop AI models, automation workflows, and rApps (possible cApps) that support closed-loop optimization, self-configuration, self-healing, and autonomous network operations across multi-vendor RAN environments wherever applicable. Working closely with, RAN Operations, OSS, Cloud, Data & AI, and vendor partners, the engineer will accelerate the organization's transformation towards AI-native and autonomous networks.

Make an impact by:

1. AI & Automation Development

1. • Support the development and testing of AI/ML models and automation scripts for RAN use cases such as KPI analysis, anomaly detection, and traffic prediction.
   • Assist in preparing datasets and validating AI model performance.

2. Ericsson RAN & SMO Support

2. • Assist in developing and testing automation solutions on Ericsson RAN management platforms (e.g., ENM/EIAP) and SMO.
   • Support configuration, monitoring, and troubleshooting activities.

3. rApp & Software Development

3. • Assist in developing, testing, and maintaining rApps and cloud-native applications.
   • Develop simple APIs, automation scripts, and reusable software components under supervision.

4. Data Analysis & Reporting

4. • Collect and analyze RAN performance data from PM, FM, and CM systems.
   • Prepare dashboards, reports, and visualizations to support AI use cases.

5. Learning & Collaboration

5. • Participate in technical training, Proof-of-Concept (PoC) activities, and innovation projects.
   • Collaborate with RAN, OSS, Cloud, and AI teams while continuously developing technical competencies.
     

Skills for Success:

• Bachelor's degree in Telecommunications Engineering, Electrical & Electronics Engineering, Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related discipline.
• Strong foundation in wireless/mobile communications and software engineering.
• up to 2 years of relevant experience.
• Experience from university projects, internships, or capstone projects involving software development or data analytics.
• Basic programming knowledge in Python.
• Basic understanding of object-oriented programming.
• Basic SQL and data analysis skills.
• Understanding of LTE/5G mobile networks (academic knowledge acceptable).
• Familiarity with Linux and Git.