RF Network Performance & Automation Engineer

Ericsson GmbH; Plano (TX); On-site; USD 70,000 - 100,000; Full time

Benefits offered by this job

Health benefits

401(k) with company match

Paid time off

Parental/maternity leave

Job summary

Ericsson Inc. in Plano, Texas seeks an Early Career RF Network Performance and Automation Engineer to support RF optimization and RAN performance for 4G/5G networks. You will lead Six Sigma projects, design AI and RPA solutions, and translate data into actionable insights.

Ideal candidates have a bachelor’s in a quantitative field and 2+ years of RF experience, with Python and Power BI familiarity. This role emphasizes collaboration with cross-functional teams and delivering measurable

Qualifications

• Bachelor’s degree in a quantitative field or related area.
• 2+ years’ hands-on RF optimization or RAN performance experience.
• Familiarity with 4G/5G technologies; knowledge of RF KPIs and troubleshooting.

Responsibilities

• Conduct process assessments and identify optimization opportunities across functions.
• Lead Six Sigma projects through full lifecycle from definition to implementation.
• Design and deploy AI and RPA solutions to automate repetitive processes.
• Perform advanced statistical analysis and translate data into actionable insights.

Skills

RF optimization

RAN performance

4G/5G technologies

Python

Power BI

Six Sigma

Data analysis

Cross-functional collaboration

Education

Bachelor's degree in Information Technology, Computer Science, or related field

Job description

Ericsson Inc. in Plano, Texas seeks an Early Career RF Network Performance and Automation Engineer to support RF optimization and RAN performance for 4G/5G networks. You will lead Six Sigma projects, design AI and RPA solutions, and translate data into actionable insights.

Ideal candidates have a bachelor’s in a quantitative field and 2+ years of RF experience, with Python and Power BI familiarity. This role emphasizes collaboration with cross-functional teams and delivering measurable