Senior Tech Lead, 4G/5G stack L2, with AI/ML expertise - SW DEV

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.

• 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.