Undergraduate/Graduate (Summer) Intern - Cyber… at National… · Golden

Summary: The National Laboratory of the Rockies (NLR) is a leading laboratory for energy systems research and development. They are seeking an intern to join the Cyber Mission Assurance team to support cybersecurity research efforts aimed at strengthening the U.S. electric grid against potential threats. Responsibilities: - Design and implement RIC applications: - RApps (non-real-time optimization and policy-driven automation) - XApps (near-real-time RAN control and optimization) - DApps (distributed and domain-specific intelligent network functions) - Develop and enhance NWDAF analytics functions for performance monitoring, prediction, anomaly detection, and optimization - Build AI/ML models for network intelligence (forecasting, classification, reinforcement learning, root-cause analysis) - Implement closed-loop automation workflows using AI insights and RIC control interfaces - Develop cloud-native microservices using containers and Kubernetes - Integrate with O-RAN and 3GPP interfaces (A1, E2, O1, service-based APIs) - Process and analyze large-scale, time-series and streaming network data - Collaborate with cross-functional teams on design, testing, and validation - Document software designs, experiments, and technical results Required Qualifications: - Minimum of a 3.0 cumulative grade point average - Undergraduate: Must be enrolled as a full-time student in a bachelor's degree program from an accredited institution - Post Undergraduate: Earned a bachelor's degree within the past 12 months. Eligible for an internship period of up to one year - Graduate: Must be enrolled as a full-time student in a master's degree program from an accredited institution - Post Graduate: Earned a master's degree within the past 12 months. Eligible for an internship period of up to one year - Graduate + PhD: Completed master's degree and enrolled as PhD student from an accredited institution - Currently enrolled in or recently from a bachelor's or master's degree in Computer Science, Software Engineering, Electrical Engineering, AI/ML, or a related field; or currently enrolled in a Ph.D. program in these fields - Strong programming skills in Python, Go, Java, or C++ - Demonstrated knowledge or experience in software engineering principles, data structures, and algorithms - Experience working in Linux-based environments, command line, and networking - Demonstrated knowledge and/or experience with AI-driven systems, distributed software, and telecom networks - Knowledge or experience with data analytics pipelines such as one of the following:(Kafka, Prometheus, Grafana, time-series databases) Preferred Qualifications: - Knowledge of 5G architecture, O-RAN, RIC, or 3GPP NWDAF concepts - Experience with machine learning frameworks (PyTorch, TensorFlow, scikit-learn) - Experience with cloud-native technologies i.e. docker - Exposure to reinforcement learning, graph analytics, or network optimization - Prior experience with telecom data, simulations, or digital twin Required Skills: Python, AI/ML, Cloud-native technologies, Data analytics pipelines Important Skills: Software engineering principles, Linux environments, 5G architecture Nice-to-Have Skills: Team collaboration, Problem-solving, Communication skills Benefits: Medical, dental, and vision insurance, 403(b) Employee Savings Plan with employer match, Sick leave (where required by law), Performance-, merit-, and achievement- based awards that include a monetary component, Relocation expense reimbursement