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Salary
$22k – $50k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior
Employment
Full-Time
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.

Technical Skills & Qualifications

    • Hands-on experience in Cellular RAN software development, preferably in LTE and 5G NR.
    • Strong understanding of end-to-end 4G/5G network architecture and 3GPP RAN specifications.
    • Extensive development experience across multiple RAN protocol layers (PHY, MAC, RLC, PDCP, RRC), with the ability to design, develop, and debug across the complete protocol stack.
    • Experience with multiple Radio Access Technologies (2G/3G/4G/5G), with deep expertise in LTE and 5G NR.
    • Excellent debugging and log analysis skills with proven ability to resolve complex customer and field issues through end-to-end cross-layer root cause analysis.
    • Strong hands-on experience leveraging AI/LLMs for software development, debugging, and engineering productivity.
    • Ability to build AI-powered automation frameworks and intelligent agents for automated log analysis, bug triaging, root-cause analysis, and cross-layer issue correlation across multiple RATs.
    • Strong understanding of networking and telecom interfaces (TCP/IP, UDP, SCTP, Ethernet, F1, E1, Xn/X2, NG, FAPI/SCF).
    • Hands-on experience with debugging tools such as GDB, Wireshark, QXDM, TM500, QCAT, protocol analyzers, and custom log analysis utilities.
    • Strong C/C++ programming skills with extensive Linux-based software development and debugging experience.

Good to Have / Advantageous

    Experience with O-RAN architecture, DU/CU software, scheduler development, and Open RAN ecosystems.

    Knowledge of AI/ML applications for RAN optimization, automation, and network analytics.

    Experience developing internal engineering tools, automation frameworks, and CI/CD pipelines.

    Familiarity with Git, Gerrit, Jenkins, Docker, and Kubernetes.

    Academic

    Relevant Educational degree from Reputed University (Bachelors or Masters in relevant field )

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