Posted 23 August, 2026
Senior Tech Lead, 4G/5G stack L2, with AI/ML expertise - SW DEV
Parallel Wireless
Bangalore
Full Time
Reference: 113_569358_6c60e083-03aa-4aa4-b1c4-5c864bc2732e
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.
0 - 0 a year
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.
