AI Software Intern

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