5G/6G R&D Software Developer

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🕒 March 24

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Logo of IS-Wireless

IS-Wireless

51 - 200 employees

Founded 2017

📡 Telecommunications

đŸ€ B2B

Telecommunications ‱ B2B

IS-Wireless is a top European deep-tech innovator developing ultra-resilient, secure, and resource-efficient 5G/6G radio access solutions for industrial and tactical use. The company, founded in 2017 and recognized with the EIC Seal of Excellence and NATO DIANA 2025 innovation status, holds 10+ patents for its Liquid RAN technology — an open, disaggregated approach enabling rapid restoration and redeployment of base stations in volatile or degraded environments. IS-Wireless operates as a dual-use firm bridging defense and commercial applications, and brings together hardware and software expertise from telecom vendors, operators, and R&D institutions.

📋 Description

‱ Implement 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/R2 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) to deploy and scale network applications ‱ Collaborate on research projects that may lead to patent applications (and/or papers) ‱ Integrate selected security solutions e.g. encryption (TLS/PKI, IPSec), Zero Trust architectures

🎯 Requirements

‱ Strong programming skills in Python (prototyping, AI/ML) ‱ JAVA or C/C++ knowledge will be a plus ‱ Good understanding of 5G/6G architecture and O-RAN Alliance standards (RIC, E2AP, R1, O-CU/O-DU) ‱ Experience working in cloud-native environments: Kubernetes, CI/CD ‱ Basic knowledge of security principles (e.g. Zero Trust, TLS/PKI, IPSec) ‱ Ability to rapidly prototype solutions and work with technical documentation (3GPP, O-RAN) ‱ Good command of English ‱ Nice-to-Have: Experience in Radio Resource Management (scheduling, interference management, load balancing) ‱ Hands-on experience creating xApp/rApp applications (RIC SDK, E2/R1 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) ‱ Familiarity with network simulators: MATLAB, ns-3 ‱ R&D experience (publications, patents)

đŸ–ïž Benefits

‱ Gain expert knowledge and challenge yourself ‱ Opportunity to develop your skills in building networks in the Open RAN model ‱ Access to the top-class telecommunications knowledge base and training ‱ Interesting and challenging work within an international environment of talented engineers

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