Senior Engineer, Production Dev (QA Automation (AI & Root Cause Analysis)
What you will do:
Integration/System/E2E Featue Validation of PW products (LTE/NR/GSM)
Use AI tools (Claude / AI-assisted engineering) to accelerate code understanding, log analysis, debugging, correlation and RCA — especially on multi-module problems.
Identification of the scenarios, enhance the coverage to make the product robust & stabile
Analysis of the issue/RCA on field and lab issues that span multiple modules, correlating evidence across the full stack:
→ UE logs · PHY logs · DU / MAC / SCH logs · CU / L3 logs · Core logs · Platform logs · RRH logs · System logs · field issues across EMS / system monitoring.
Reproduce field/customer issues in the lab on production-like setups.
Field-issue investigation with direct customer / field involvement; feed learnings back into design, regression and stability.
Automation of the E2E features
What we are looking for
Must-have
Solid wireless/telecom system understanding across 2G / 4G LTE / 5G NSA / SA — RRC, S1AP/NGAP, X2/Xn, PDCP/RLC/MAC scheduling, PHY/FAPI, GTP-U, and the core/platform interfaces.
Handson experience in Python/Pytest for tools/automation scripting
Proven debugging & RCA skills: coredumps/gdb, log/PCAP analysis, memory/crash triage, KPI/counter reasoning.
A system mindset — comfortable reasoning across UE ↔ RAN ↔ Core ↔ Platform ↔ EMS rather than a single layer.
Willingness and aptitude to work with AI tools as a daily engineering accelerator
Summary
QA automation engineer validating Parallel Wireless telecom products (LTE/NR/GSM) end to end. Uses AI tools and Python/Pytest to automate E2E features, reproduce field issues, and perform root-cause analysis across the full stack. Requires wireless/telecom system knowledge, hands-on Python/Pytest, debugging and RCA skills, and a system mindset.
Responsibilities
Integration/System/E2E feature validation; use AI tools to accelerate code understanding, log analysis, debugging and RCA; identify scenarios and enhance coverage; RCA on field/lab issues across modules; reproduce field/customer issues in lab; field-issue investigation with customer involvement; automate E2E features.
Qualifications
Solid wireless/telecom system understanding (2G/4G/5G); hands-on Python/Pytest; proven debugging & RCA; system mindset across UE/RAN/Core/Platform/EMS; willingness to use AI tools; O-RAN/fronthaul, EMS/OSS, Kibana/KPI, field deployment, Scrum/Agile, networking (good to have).
Education requirements
Bachelor's (B.E/B.Tech) or Master's (M.E/M.Tech) in Electronics/Communication/Computer Science Engineering or equivalent training, education and experience.