5G/LTE Network Engineer I

Key Responsibilities

• Deploy, configure, and commission LTE eNodeBs to work with 3 party EPC components (MME, SGW, PGW), and 5G NR/Core elements in lab and live customer environments
• Perform end-to-end system integration and interface testing across S1, X2, N1, N2, and N3 reference points
• Analyze protocol traces (S1AP, NGAP, X2AP, E2AP, GTP-U, DIAMETER, SCTP) to diagnose signaling failures, handover issues, and connectivity anomalies
• Monitor and troubleshoot RAN and core KPIs for accessibility, retainability, mobility, availability and performance and own root-cause analysis when they degrade
• Operate and maintain network performance management systems, identifying trends and anomalies across multi-vendor environments before they become customer-impacting events
• Support customer-facing lab trials and network acceptance testing, including direct engagement with operator engineering teams
• Develop scripts and tooling in Python and Bash to automate data collection, processing, and reporting workflows
• Write and maintain technically rigorous documentation: network topology diagrams, test plans, commissioning procedures, and incident post-mortems
• Contribute to the integration of next-generation monitoring capabilities, including AI/ML-driven anomaly detection and intelligent alerting, into operational platforms
• Stay current on 3GPP specifications, GSMA guidelines, and evolving 5G standards; you'll be expected to read specs, not just summaries of them

Requirements

• A Bachelor’s or Masters’s degree in Telecommunications, Electrical Engineering, Computer Networks, or a related field, recent graduate or up to 1 year of experience
• Be authorized to work in the U.S. without sponsorship
• Theoretical foundation in LTE/5G RAN and core network architecture
• Comfort working in Linux environments from the command line
• Basic scripting ability in Python or Bash
• Ability to read and interpret packet captures even if you're still building that skill
• Analytical mindset: you approach a problem by forming a hypothesis and testing it systematically
• An appetite for data: you find patterns in large datasets interesting, not overwhelming…