Plano, TX

Salary
Posted
Jul 12, 2026
Location
Plano, TX
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

An early-career engineering role focused on improving operational efficiency within cellular network environments. Day-to-day work involves running Six Sigma improvement projects, designing and deploying AI and RPA automation solutions, and performing statistical analysis on network performance data. The role suits candidates with a background in RF optimization or RAN performance for 4G/5G networks who also have working knowledge of Python, Power BI, and automation tooling.

Mid level · 2+ years · Dallas-Fort Worth-Arlington, TX · Bachelor's required · Full-time

Must have (1)
RAN performance · 2+ yrs
Nice to have (5)
4G or 5GPythonPower BIRPASix Sigma

“or” means any one of them counts — you don't need all of them.

We read this from the posting text with AI. Skim the description below before ruling yourself out.

Why we read it this way (9)

The role is a genuine hybrid of RF/RAN network engineering, process improvement (Six Sigma), and AI/automation — it does not map cleanly to a single SOC. 15-1299 (Computer Occupations, All Other) is used as the best fit; 15-2031 (Operations Research Analysts) is a plausible alternative given the Six Sigma and data-analysis emphasis.

The job title in the posting footer is 'Network Engineer', but the body describes a cross-functional process improvement and automation role; the title was not used to set advertised seniority since it carries no level modifier.

The posting is framed as 'early-career' and requires 2+ years of RF/RAN experience, supporting a Mid-level classification.

4G and 5G are listed under 'The skills you bring' (the requirements section) but framed as 'familiarity with', which softens them to preferred rather than hard gates.

Python, Power BI, RPA, and Six Sigma appear in the requirements section but are framed with 'working knowledge of', 'understanding of', and 'ability to apply' — language that signals familiarity rather than deep expertise, so they are treated as preferred.

A master's degree is explicitly stated as preferred; the hard minimum is a bachelor's degree.

No compensation figures are stated; the posting only describes the salary as location- and experience-dependent.

Relocation is not provided and the role is on-site in Plano, TX (Dallas–Fort Worth metro). No sponsorship is available.

Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): RF optimization.

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