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