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Senior Tech Lead, dApp and AI/ML expertise - SW DEV

Posted July 21, 2026
Full Time 0 - 0 INR per-year-salary

Job Overview

Parallel Wireless is a U.S.-based pioneer in Open RAN innovation, transforming how mobile networks are built, optimized, and powered. Through our GreenRAN™ portfolio, we enable operators to deliver next-generation connectivity with unmatched energy efficiency, automation, and flexibility.
Parallel Wireless is a U.S.-based pioneer in Open RAN innovation, transforming how mobile networks are built, optimized, and powered. Through our GreenRAN™ portfolio, we enable operators to deliver next-generation connectivity with unmatched energy efficiency, automation, and flexibility.

Qualifications & required skills-

  • Understanding of end-to-end solutions for 4G/5G network architecture.
  • Familiar with 3GPP RAN and O-RAN specifications and functionality.
  • Development experience on Cellular Radio products complying with 3GPP specifications for E-UTRA (LTE) and NR.
  • Familiar with communication interfaces: Ethernet / TCP/IP / UDP.
  • Good knowledge of RAN protocols and interfaces:
  • LTE/5G AS protocol layers — PHY, MAC, RLC, PDCP, RRC.
  • Expert-level proficiency in the MAC and RLC layers is required
  • Knowledge of AI/ML concepts and their application to RAN (e.g., network optimization, ML frameworks); hands-on experience applying AI/ML in a telecom/RAN context is a strong plus.
  • Excellent log analysis and debugging skills.
  • Must be strong in C/C++ programming and Linux OS.
  • Hands-on experience debugging in a Linux environment with tools like GDB, QXDM, TM500, QCAT, etc.
  • 8 - 10 years of work experience.

  • Good to Have / Advantageous

  • Experience with Git.
  • Knowledge of the O-RAN E3 interface and dApp development.

Key responsibilities -

    • You will be responsible for the full development process of L2/L3 embedded protocol stack including design, coding, unit testing, debugging, and integration.
    • As a stack SW developer, you will develop new features/environment for Parallel Wireless future products and debug existing solutions which are used by our customers around the world.
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