Senior Production Development Engineer - QA Automation with AI and Root Cause Analysis

PARALLEL WIRELESS INDIA PRIVATE LIMITED; Bengaluru; On-site; INR 1,400,000 - 2,400,000; Full time

Job summary

PARALLEL WIRELESS INDIA PRIVATE LIMITED in Bengaluru is seeking a Senior Engineer for Production Dev focused on QA automation aided by AI and root-cause analysis. You will validate LTE/NR/GSM features across integration, system and end-to-end layers, using AI tools to accelerate debugging and RCA.

You will need strong wireless knowledge (2G/4G/5G NSA/SA), hands-on Python/Pytest, and proven debugging skills across logs and KPI analysis. Agile teamwork and field/NPI exposure are a plus.

Qualifications

• Solid wireless/telecom system understanding across 2G/4G LTE/5G NSA/SA.
• Hands-on Python/Pytest for automation scripting.
• Proven debugging and RCA skills including log/PCAP analysis.
• System mindset spanning UE, RAN Core, EMS/OSS, not a single layer.
• Experience with AI tools as a daily engineering accelerator.
• Experience with field deployments or NPI is a plus.

Responsibilities

• Validate PW products (LTE/NR/GSM) across integration, system, and end-to-end features.
• Leverage AI tools to accelerate code understanding, log analysis and RCA.
• Identify scenarios and expand coverage for robustness and stability.
• Analyze field and lab issues spanning multiple modules and logs.
• Reproduce field issues in lab on production-like setups.
• Lead field-issue investigations and feed learnings back into design and regression.
• Automate end-to-end features and ensure quality gates are met.

Skills

Wireless/telecom systems

Python

Pytest

Debugging & RCA

AI tools daily use

Field/customer-facing

Agile / Scrum

Networking basics

Education

B.E./B.Tech or M.E./M.Tech in ECE/CS

Tools

EMS/OSS

Kibana

GDB/cores dumps

Job description

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

What you will do:

• Integration/System/E2E Feature 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 & stable
• 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

• 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.
• Hands-on 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.

Experience Level

Senior Level