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.
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Willingness and aptitude to work with AI tools as a daily engineering accelerator
Good to have
O-RAN / disaggregated CU-DU, fronthaul (split 7.2), PTP/timing, IPsec/transport exposure.
Experience with EMS / OSS, Kibana/KPI monitoring, PM counters.
Prior field / customer-facing deployment or NPI experience.
Scrum / Agile delivery experience
Networking knowledge is an added advantage
Academic Qualification (Education)
Bachelor’s (B.E/B.Tech) or Master’s degree (M.E. or M.Tech.) in Electronics/Communication/Computer Science Engineering or equivalent training, education and experience.
