Salary
≈ $17k – $47k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Oct 23, 2026. Parallel Wireless scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Parallel Wireless is a telecommunications software and hardware company headquartered in Nashua, New Hampshire, and founded in 2012. The company develops cloud-native Open RAN (Radio Access Network) solutions that support 2G, 3G, 4G, and 5G technologies through software-defined radios and network automation tools. It serves mobile network operators and private industries globally, providing interoperable infrastructure designed to reduce deployment costs and increase operational efficiency.
Backed by Floodgate
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
- 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
- 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
Must-have
Good to have
Academic Qualification (Education)
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