Early-Career RAN Optimization Engineer - AI-Driven

Ericsson GmbH; Plano (TX); On-site; USD 85,000 - 120,000; Full time

Benefits offered by this job

Health benefits

401(k) with company match

Paid time off

Job summary

Ericsson GmbH in Plano, TX seeks an early-career Network Engineer (RAN Optimization) to design, implement, and optimize RF performance across telecom networks. You will contribute to 4G/5G deployments, analyze KPI data, and collaborate with cross-functional teams and customers to deliver high-quality solutions.

The role emphasizes innovation, automation, and a strong foundation in RF principles, with travel up to 75% within the United States. A bachelor’s degree in a related field is required.

Qualifications

• Bachelor’s degree in Telecommunications/Electrical Engineering, Computer Science, or a related quantitative field.
• Hands-on experience in RF optimization or RAN performance is desirable for early-career candidates.
• Strong communication skills to bridge technical execution with client expectations from pre-sales through delivery.

Responsibilities

• Design, develop, and implement RF optimization strategies across 4G/5G networks.
• Lead carrier/site deployments, including verification and testing activities.
• Analyze KPIs and perform structured troubleshooting to optimize performance.
• Collaborate with cross-functional teams and customers to deliver high-quality network solutions.
• Explore automation and AI-driven approaches to streamline network operations.

Skills

RF optimization

RAN performance

Automation

Cross-functional collaboration

Education

Bachelor’s degree in Telecommunications/Electrical Engineering, Computer Science, or a related field

Tools

Python

Tableau

Power BI

Job description

Ericsson GmbH in Plano, TX seeks an early-career Network Engineer (RAN Optimization) to design, implement, and optimize RF performance across telecom networks. You will contribute to 4G/5G deployments, analyze KPI data, and collaborate with cross-functional teams and customers to deliver high-quality solutions.

The role emphasizes innovation, automation, and a strong foundation in RF principles, with travel up to 75% within the United States. A bachelor’s degree in a related field is required.