Senior Engineer, Production Dev (QA Automation (AI & Root Cause Analysis)
Parallel Wireless
- Location
- Onsite (Bangalore, Karnataka)
- Employment
- Full-time
- Level
- Senior Level
Posted 2 days ago
About the role
Parallel Wireless is reimagining wireless network economics through its open RAN software platform, serving over 50 global mobile network operators. This role focuses on end-to-end feature validation and automation for LTE and 5G products, leveraging AI tools to accelerate debugging and root cause analysis across the full network stack.
Skills
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
Full job details
Senior Engineer, Production Dev (QA Automation (AI & Root Cause Analysis)
- 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
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.