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

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

Parallel Wireless, Inc.
Fresher
Not Disclosed
Early Applicant
  • Posted 19 hours ago
  • Be among the first 10 applicants

Job Description

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
Addional details

What success looks like

You turn an opaque field escape into a named, proven root cause and a merged fix.

Your RCA is accurate - the cause you name is the one the fix confirms (evidence-cited, instrumented, graded).

You reduce field escapes and the RCA load on the core development team.

You grow into a complete-product System Engineer who can design, reproduce, debug and fix across any layer.

Why join

You will work at the center of PW's Prod-Dev transformation - a Friendly customer in the lab operating model - using cutting-edge AI-assisted engineering to solve real, multi-layer telecom problems end to end, with direct customer impact and genuine system ownership.

Academic Qualification

Relevant Degree in Bachelor of Engineering in computer science, Electronics , Information Technology or relevant field from reputed college/ University
Job Location Bengaluru
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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