Cloud AI-RAN R&D Intern

Job Description:

Position: Cloud AI-RAN R&D Intern
Duration: 10 weeks
Date: May 11th - August 21st, 2026
Location: Dallas, TX - Onsite
Educational Recommendations:
Currently a candidate for a bachelor's or master's degree in computer science, Software Engineering, Electrical Engineering, Data Science, AI/ML, or a related field.

As Part of the Team You Will:
* Design and prototype next-generation (5G/6G and beyond) AI-RAN systems aligned with 3GPP, AI-RAN, and O-RAN architectures.
* Apply machine learning techniques to optimize cellular network performance, including KPI analytics, anomaly detection, forecasting, and intelligent control.
* Develop service-aware and network-application co-optimization solutions for advanced connectivity and edge intelligence use cases.
* Implement innovative algorithms and prototypes within cloud-native, GPU-accelerated, and AI-driven environments.
* Perform hands-on testing, validation, and performance benchmarking of AI models, pipelines, and cloud-native applications in lab environments.
* Document technical findings, including results, insights, diagrams, and contributions to demos, internal publications, and innovation disclosures

Candidate Requirements:

You're a Great Fit If You Have:
* Python.
* PyTorch and TensorFlow.
* ML concepts (deep learning, forecasting, anomaly detection, embeddings).
* Data preprocessing and ML pipelines.
* Linux, Git, development workflows.
* Interest in wireless, 5G, cloud, or AI-RAN.
* Docker.
* Kubernetes.
* LLMs, LangChain, vector databases (RAG workflows).
Nice to Have:
* NVIDIA GPUs, CUDA, TensorRT.
Personal Attributes:
* Strong analytical and problem-solving mindset.
* Curiosity and willingness to learn new technologies.
* Ability to work independently in a research-oriented environment.
* Clear and concise communication skills.
* Collaborative, innovative, and self-driven approach to complex challenges