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Open nowPosted 18 hours ago

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

Parallel Wireless45 open roles

Where
Bangalore
Work mode
On site
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Your applicationOpen nowSr. Tech Lead, Prod Dev (RAN, AI-Assisted RCA, Design & Development)Parallel Wireless · Bangalore

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The clock on this job

Early applications get read.

11.9% of postings close within 7 days. Measured by our own scanner across the market. Parallel Wireless postings stay open a median of 36 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 18 hours ago

Parallel Wireless median: 36 days open

The posting

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

What we are looking for

  • 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

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