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Parallel Wireless

Senior Engineer, Production Dev (QA Automation (AI & Root Cause Analysis)

Parallel Wireless Bengaluru, Karnataka, India

Telecommunications · 501-1,000 employees

22 h ago
qa Senior (5-10 yrs) Full-time India
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About the role

The role involves performing end-to-end feature validation for wireless products using AI-assisted tools for log analysis and debugging. You will be responsible for reproducing field issues in lab environments and automating testing processes to ensure product stability.

What they look for

Wireless Systems Telecom LTE 5G Python Pytest Automation Scripting Debugging Root Cause Analysis Log Analysis PCAP Analysis AI Tools System Integration PHY MAC Core Network

Requirements

Candidates must have solid experience in wireless/telecom systems (2G/4G/5G) and proficiency in Python for automation. A strong background in debugging, log analysis, and a system-level mindset across RAN and Core networks is required.

Full description

Senior Engineer, Production Dev (QA Automation (AI & Root Cause Analysis)

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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.

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