Senior RAN Systems Engineer- POC & Technical Evaluation

Team: 348-RAT

Location: Kfar Saba

Commitment: Full Time

Workplace Type: onsite

What you will do:

Own selected RAN POCs and technical evaluations from initial definition through a clear, evidence-based conclusion.
Define the scope, evaluation approach, success criteria, required evidence, and execution plan.
Analyze logs, traces, configurations, software builds, test results, ticket history, and relevant lab or field data.
Run evaluations using lab environments, simulations, automation frameworks, dashboards, and other engineering tools.
Develop practical Python or shell scripts for data preparation, validation, and repeatable analysis.
Reproduce key findings, identify missing evidence, and clearly communicate assumptions, limitations, and recommendations.
Work with Development, QA, System Integration, Lab, Release, Field, and Radio teams to close technical and data gaps.
Convert recurring manual activities into reusable scripts, templates, checklists, and working practices.

What you should have:

B.Sc. in Electrical Engineering, Computer Engineering, Computer Science, Telecommunications, or a related field, or equivalent practical experience.
5+ years of hands-on experience in RAN system verification, system integration, performance engineering, lab engineering, field support, or a similar technical role.
Strong knowledge of at least one RAN technology or domain, such as LTE, 5G NR, PHY, MAC, RLC, PDCP, protocol stack, RAN performance, or end-to-end feature validation.
Proven experience investigating complex technical issues using logs, traces, configurations, software versions, and test results.
Practical scripting experience using Python, Shell, or similar tools.
Strong analytical skills, technical ownership, attention to detail, and the ability to collaborate effectively across cross-functional engineering teams.
Excellent written and verbal communication skills.

Preferred qualifications:

Experience working with RAN lab environments, User Equipment, traffic generators, packet captures, RF/protocol traces, field-log analysis, and test-result databases.
Familiarity with engineering tools such as Wireshark, QXDM, TM500, TEMS, Jenkins, Grafana, or Kibana, as well as SQL, pandas, data analytics, Digital Twin environments, or AI-assisted engineering workflows.