6-month internship to design and implement AI-enabled software for telecom Digital Twin platforms. Responsibilities include Python backend and API development, telemetry ingestion, ML model integration, web dashboard visualization, performance optimization, documentation, and final demonstrations to leadership.
Summary:
Initiates the design, development, execution and implementation of technology research projects. Investigates the feasibility of applying scientific principles and concepts to potential inventions and products. Plans and executes applied research. Maintains substantial knowledge of state-of-the-art principles and theories, and may contribute to scientific literature and conferences. May participate in development of patent applications. May coordinate interdepartmental activities and research efforts.Duties & Responsibilities:
Join the CTO Innovation Center at VIAVI Solutions to learn and develop next-generation AI software applications on top of industry-leading telecom test platforms. This internship provides hands-on experience in combining AI/ML technologies with wireless and optical network testing, AI-RAN validation, digital twin environments, and network traffic emulation.
Unlike conventional software internships, this role exposes students to cutting-edge domains including AI-driven network automation, RAN digital twins, etc.
Key Responsibilities
- Learn and develop AI-enabled software modules integrated with VIAVI test platforms
- Implement Python-based backend services and APIs
- Develop web-based UI/dashboard components for monitoring and analytics
- Work with telecom datasets such as RAN (Radio Access Network) KPIs, UE mobility simulations, etc.
- Contribute to technical documentation, demonstrations, and presentations
Month 1 — Requirement Study & Environment Setup
Objectives
- Understand Digital Twin architecture and workflows
- Learn telecom digital twin concepts
- Define application scope and technical architecture
Activities
- Study Digital Twin APIs and scenario configuration
- Review existing mobility, traffic, and UE simulation features
- Setup development and test environment
Deliverables
- Development environment ready
- Requirement specification document
- High-level application architecture diagram
- Initial proof-of-connectivity to Digital Twin APIs
Month 2 — Core Framework Development
Objectives
- Build core backend framework and data pipeline
Activities
- Develop backend services/API modules
- Implement Digital Twin scenario management functions
- Build data ingestion and telemetry collection modules
- Create database/storage structure for scenario metadata
Deliverables
- Working backend framework
- Digital Twin control interface prototype
- Scenario configuration parser
- Initial telemetry collection pipeline
Month 3 — AI & Automation Feature Development
Objectives
- Introduce AI-assisted intelligence and automation
Activities
- Develop AI-based scenario recommendation engine
- Implement anomaly detection or KPI prediction models
- Build automation workflows for scenario generation
- Enable AI inference traffic orchestration
Deliverables
- AI-assisted scenario generation prototype
- Basic ML model integration
- Automated test workflow execution
- Technical demonstration to mentor team
Month 4 — Frontend Dashboard & Visualization
Objectives
- Build user-facing dashboard and visualization capabilities
Activities
- Develop web UI/dashboard
- Visualize UE movement, traffic patterns, and KPIs
- Add monitoring and analytics capabilities
- Implement real-time scenario status tracking
Deliverables
- Interactive dashboard prototype
- Real-time KPI visualization
- Digital Twin scenario monitoring page
- User workflow demonstration
Month 5 — Advanced Integration & Optimization
Objectives
- Integrate multi-domain workflows and optimize performance
Activities
- Optimize backend performance and scalability
- Validate large-scale crowd/mobility simulations
- Conduct stress and performance testing
Deliverables
- End-to-end integrated prototype
- Performance benchmark report
- Multi-domain orchestration workflow
- Stability and scalability improvements
Month 6 — Final Validation & Demonstration
Objectives
- Finalize application and demonstrate business/technical value
Activities
- Conduct final validation testing
- Prepare demonstration scenarios
- Document architecture and implementation details
- Present outcomes to CTO leadership/research partners
Deliverables
- Final Digital Twin application prototype
- Complete technical documentation
- Final presentation/demo including:
- Architecture overview
- AI workflow
- Key innovations
- Performance results
- Future roadmap suggestions
Pre-Requisites / Skills / Experience Requirements:
Preferred Skills & Qualifications
Required
- Currently pursuing Bachelor’s, Master’s, or PhD in:
- Computer Science
- Electrical Engineering
- Telecommunications
- AI / Machine Learning
- Data Science
- Programming experience in Python
- Familiarity with REST APIs and Linux environments
Preferred
- Knowledge of:
- Machine Learning / Deep Learning frameworks
- LLMs or AI agents
- Data analytics and visualization
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