R&I Software Engineer (5G/6G, O-RAN, AI)

Role Mission

To develop innovative software solutions for next-generation 5G/6G networks, focusing on O-RAN architecture, AI-driven network optimization, and secure disaggregated RAN systems. You'll be at the forefront of creating intelligent xApps/rApps that revolutionize how networks operate.

Key Responsibilities

• Develop and prototype innovative algorithms for disaggregated RAN, security/Zero Trust, and Radio Resource Management (RRM).
• Design and implement xApp/rApp applications for the O-RAN ecosystem using RIC API and E2 interfaces.
• Deploy AI/ML-driven solutions for network optimization (e.g. based on  reinforcement learning, swarm optimization or similar
• Work with cloud-native technologies (Kubernetes, microservices) to deploy and scale network applications.
• Collaborate on research projects that may lead to publications and patent applications.
• Integrate security solutions including Zero Trust architectures, TLS/PKI, and IPSec protocols.
• Strong programming skills in Python (prototyping, ML/AI) - C/C++ knowledge is a plus.
• Good understanding of 5G/6G architecture and O-RAN Alliance standards (RIC, E2AP, O-CU/O-DU).
• Experience working in cloud-native environments: Kubernetes, microservices, CI/CD.

Requirements

• Basic knowledge of security principles (Zero Trust, TLS/PKI, IPSec).
• Ability to rapidly prototype solutions and work with technical documentation (3GPP, O-RAN).
• Good command of English.
• Experience in Radio Resource Management (scheduling, interference management, load balancing).
• Hands-on experience creating xApp/rApp applications (RIC SDK, E2 interface).
• Practical AI/ML experience: reinforcement learning, anomaly detection.
• Knowledge of libraries and HW suitable for fronthaul/midhaul optimization (eCPRI, DPDK, eBPF, SmartNIC/GPU).
• Experience in MLOps (deploying AI models in telecom environments).

Nice-To-Have

• Familiarity with network simulators: MATLAB, ns-3.
• R&D experience (publications, patents).