Sr. Tech Lead, Prod Dev (RAN, AI-Assisted RCA, Design & Development)

 

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.

- 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.

 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