Responsibilities

Perform cross-layer root-cause analysis of field and lab issues across UE, PHY, DU/MAC/SCH, CU/L3, core, platform, RRH, EMS, and system-monitoring layers.
Reproduce field and customer issues in production-like lab environments.
Investigate production code, deliver bug fixes, and own issues through validation and closure.
Work directly with customers and field teams and feed findings into design, regression, and stability improvements.
Develop features driven by framework gaps and customer requirements.
Use AI tools for code understanding, log analysis, debugging, evidence correlation, and RCA.
Improve monitoring and validation coverage and raise software quality before issues reach the field.

Requirements

Bachelor of Engineering degree in Computer Science, Electronics, Information Technology, or a relevant field.
Strong software engineering experience with C and C++, plus Python for tooling and automation.
Ability to read and fix production RAN stack code.
Understanding of 2G, 4G LTE, and 5G NSA/SA systems, including RRC, S1AP/NGAP, X2/Xn, PDCP/RLC/MAC scheduling, PHY/FAPI, GTP-U, and core/platform interfaces.
Proven debugging and RCA skills using coredumps, gdb, log and PCAP analysis, memory/crash triage, and KPI/counter reasoning.
Ability to reason across UE, RAN, core, platform, and EMS layers.
Willingness and aptitude to use AI tools as a daily engineering accelerator.
Ability to drive issues from identification through fix and validation.
O-RAN, disaggregated CU-DU, fronthaul split 7.2, PTP/timing, IPsec/transport, EMS/OSS, Kibana/KPI monitoring, PM counters, field deployment, NPI, or Scrum/Agile experience is advantageous.

Work location: Bengaluru.
Opportunity to work in a friendly-customer-in-the-lab operating model with direct customer impact and end-to-end system ownership.