# Senior Engineer, Production Dev (QA Automation (AI & Root Cause Analysis) at Parallel Wireless

> Onsite · India · Senior · QA / Test · open. Source: https://alderhq.app/jobs/lever%3Aparallelwireless%3A23a4ff35-490d-4c44-bee5-4b0d58734184 (read 2026-11-04).

## Facts (observed)

- Company: [Parallel Wireless](https://alderhq.app/companies/parallel-wireless)
- Location text: Bangalore
- Where it can be done from (inferred): Onsite · India (evidence: "Location lists "bangalore"")
- Posted: 2026-11-02 (2 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.lever.co/parallelwireless/23a4ff35-490d-4c44-bee5-4b0d58734184
- Skills listed (inferred): Python

## Pay and sponsorship

- Posted pay: not posted
- H-1B filings at this company for similar roles, FY26: 1 ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance))

## Description (the employer's text)

### What you will do:

- 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
### What we are looking for

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.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/lever%3Aparallelwireless%3A23a4ff35-490d-4c44-bee5-4b0d58734184 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.