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Parallelwireless · Posted 8d ago

Technical Lead, Production Dev (QA Automation (AI & Root Cause Analysis)

On-siteLead / manager
Location
🇮🇳 Bangalore, India
Contract
Full-time
Role
Data science
Source
Employer’s own job board (Lever)

Stack

The posting

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

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.