ORAN Developer

Job Title : ORAN Developer Location : Dallas Job Type : Contract- long term Experience Level : (Mid-Level) Job Summary : We are seeking a skilled and passionate ORAN Developer to join our cutting-edge wireless engineering team. In this role, you will contribute to the development, integration, and optimization of Open RAN (ORAN) solutions for 5G networks, working on disaggregated RAN components (RU, DU, CU), near-RT RIC and non-RT RIC, and their interfaces (F1, E1, O1, O2, A1, etc.). Key Responsibilities : Develop and integrate ORAN software components (RU, DU, CU, RIC platforms). Work on RAN Intelligent Controller (RIC) development including xApps and rApps. Implement O-RAN interfaces (A1, E2, O1 / O2) and maintain interoperability between disaggregated network elements. Contribute to real-time and non-real-time RIC applications using standardized APIs and protocols. Participate in network function virtualization (NFV), containerization (Docker, Kubernetes), and CI / CD for ORAN components. Perform end-to-end testing, debugging, and optimization of ORAN software stacks. Collaborate with cross-functional teams and vendors for ORAN solution integration and compliance with 3GPP and O-RAN Alliance standards. Desired Skills & Experience : Bachelor's or Master's in Computer Science, Telecommunications. 5+ years of experience in RAN development with at least 1-2 years in ORAN systems. Proficiency in programming languages such as C / C++, Python, Golang. Strong understanding of 3GPP protocols (RRC, MAC, RLC, PDCP) and ORAN architecture. Experience with E2, A1, O1 / O2 interfaces and protocols (NETCONF, REST, gRPC, etc.). Hands-on with Kubernetes, Docker, Helm, and CI / CD pipelines. Familiarity with xApp / rApp development on Near-RT and Non-RT RIC. Experience with tools like FlexRAN, OAI (OpenAirInterface), srsRAN, or similar open-source RAN stacks. Preferred Qualifications : Exposure to cloud-native network functions (CNF) and service mesh. Contributions to open-source ORAN projects. Knowledge of AI / ML-based network automation in RIC. Experience with system-level performance optimization and profiling.