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

Parallel Wireless

  • Location Bengaluru, Karnataka, India
  • Job type Full-time
  • Work mode On-site
  • Salary Not disclosed
  • Posted

Job overview

Location
Bengaluru, Karnataka, India
Job type
Full-time
Work mode
On-site
Salary
Not disclosed
Category
IT & Technology
Posted
Valid through

At a glance by CareerCola

Company
Parallel Wireless
Role
Technical Lead, Production Dev (QA Automation (AI & Root Cause Analysis)
Location
Bengaluru, Karnataka, India
Employment type
Full-time
Work mode
On-site
Category
IT & Technology
Posted
26 Oct 2026
Valid through
25 Nov 2026

About the role

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.

About Parallel Wireless

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