Parallel Wireless is transforming its Feature-Validation & Stability organization into a single Prod-Dev team — in the AI era there is no longer a separate "development" vs "validation" team. We are building a group of strong System Engineers who own a problem end to end: understand the complete product behavior, find the actual root cause, and contribute directly to the fix — accelerated by Claude / AI-assisted engineering.
This is a pro-development, system-level problem-solving role. You will take a field or test issue and drive it the whole way:
Issue → Reproduction → Cross-layer analysis → RCA → Code investigation → Fix → Validation
You will not stop at "which component failed." You will name the root cause, prove it, and fix it.
What you will do
- Deep, cross-layer 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 (Friendly-Operator) setups.
- Investigate code and deliver bug fixes — own the fix through to validation, not just the analysis note.
- Field-issue investigation with direct customer / field involvement; feed learnings back into design, regression and stability.
- Feature development driven by design/framework gaps and customer-driven requirements.
- Use AI tools (Claude / AI-assisted engineering) to accelerate code understanding, log analysis, debugging, correlation and RCA — especially on multi-module problems.
- Identify scenarios, improve monitoring/validation coverage, and raise the quality bar before issues reach the field.
What we are looking for
Must-have
Strong software engineering in C / C++ (and Python for tooling/automation) with the ability to read and fix production RAN stack code.
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.
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.
Ownership attitude: drives Issue → Fix → Validation to closure.
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
Academic Qualification
Relevant Degree in Bachelor of Engineering in computer science, Electronics , Information Technology or relevant field from reputed college/ University
Job Location Bengaluru
Summary
Own end-to-end root-cause analysis and fixes for field and lab issues across the RAN stack, from reproduction through validation. Requires strong C/C++ and Python software engineering, wireless/telecom system understanding across 2G/4G/5G, debugging and RCA skills, and willingness to use AI tools.
Responsibilities
Deep cross-layer RCA; reproduce field/customer issues; investigate code and deliver bug fixes; field-issue investigation with customer involvement; feature development; use AI tools; identify scenarios and improve monitoring/validation coverage.
Qualifications
Must-have: strong C/C++ and Python software engineering; wireless/telecom system understanding across 2G/4G/5G; debugging and RCA skills; system mindset; willingness to use AI tools; ownership attitude.
Education requirements
Relevant Degree in Bachelor of Engineering in computer science, Electronics, Information Technology or relevant field from reputed college/University