RF Network Performance & Automation Engineer (Early Career)

Ericsson

Plano (TX)

On-site

USD 85,000 - 120,000

Full time

6 days ago
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Job summary

Ericsson in Plano, TX is seeking an early-career RF Network Performance and Automation Engineer to optimize wireless networks across 4G/5G and lead automation efforts. You will support carrier launches, drive testing, and KPI analytics to improve performance and efficiency.

Ideal candidates hold a Bachelor's degree in a quantitative field and have hands-on RF experience or strong potential. Proficiency in Python, Tableau, and Power BI aids cross-functional collaboration and solution delivery.

Qualifications

  • Bachelor's degree in a quantitative field such as Telecommunications, Electrical Engineering, or Computer Science.
  • 2 years of hands-on RF optimization or RAN performance is desirable; strong potential welcomed for early‑career.
  • Solid understanding of 4G/5G technologies, RF propagation, and EM frequencies/waves.

Responsibilities

  • Design, develop, and implement Generative AI tools and automated workflows for network optimization.
  • Lead the launch of new carriers, technologies, and sites across 4G/5G, and small cells.
  • Own and support carrier launches including SSV, cluster drive testing, and auditing.
  • Track KPIs and troubleshoot RF issues for new deployments.
  • Monitor RF issues related to radio/baseband hardware swaps and software changes.
  • Deliver complex projects on time and within budget, focusing on customer satisfaction.

Skills

Python
RAN optimization
4G/5G knowledge
Data analysis

Education

Bachelor's degree in Telecommunications, Electrical Engineering, Computer Science

Tools

Tableau
Power BI

Job description

Ericsson in Plano, TX is seeking an early-career RF Network Performance and Automation Engineer to optimize wireless networks across 4G/5G and lead automation efforts. You will support carrier launches, drive testing, and KPI analytics to improve performance and efficiency.

Ideal candidates hold a Bachelor's degree in a quantitative field and have hands-on RF experience or strong potential. Proficiency in Python, Tableau, and Power BI aids cross-functional collaboration and solution delivery.

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