Parallel Wireless
Senior Tech Lead, 4G/5G stack L2, with AI/ML expertise - SW DEV
Skills
3 months ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
7 August 2026
What they need
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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