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

Parallel Wireless; Bengaluru; On-site; INR 1,500,000 - 4,000,000; Full time

Job summary

Parallel Wireless in Bengaluru, Karnataka, seeks a Senior Engineer, Production Dev (QA Automation with AI & RCA) to accelerate validation of LTE/NR/GSM products. You will automate end-to-end feature validation and apply AI-assisted debugging across multi-module stacks.

Strong hands-on Python/Pytest, GDB, log/PCAP analysis, and experience with RRC/PDCP/MAC layers across UE and core platforms are required. Field and lab RCA experience and a system-minded approach are valued.

Qualifications

• Solid wireless/telecom understanding across 2G/4G/5G with core interfaces.
• Proficiency in Python/Pytest for automation tooling.
• Experience debugging and performing RCA with logs and traces.

Responsibilities

• Validate integration, system and end-to-end features of PW products (LTE/NR/GSM).
• Leverage AI tools to accelerate code understanding and RCA.
• Identify scenarios and expand test coverage for robustness.
• Analyze field and lab issues across multi-module stacks.
• Reproduce field issues in production-like lab setups.
• Investigate field issues with customers, feeding learnings back to design.
• Automate end-to-end features and tests.

Skills

Wireless/telecom systems

Python/Pytest

Debugging & RCA

AI tool usage

Education

Bachelor's or Master's in ECE/CS

Tools

GDB

PCAP analysis

Kibana

Job description

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.
• 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.