AI/ML Software Development Placement (5G Telecommunications)

Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our employees create world-class solutions across communications, 5G/6G, automotive, aerospace, defense, energy, and semiconductor markets.

We are looking for technically curious and motivated students to join our Software R&D team for a 12-month placement. This is an exciting opportunity to work on real-world AI/ML applications within advanced communication systems, gaining hands‑on experience in software engineering, machine learning, automation, and next‑generation wireless technologies.

You will work alongside experienced software, AI/ML, RF, and systems engineers, contributing to projects that support the development, testing, and optimization of intelligent communication solutions.

What You Will Work On

• Develop, integrate, and test AI/ML-powered software applications within communication system workflows
• Work with Python, machine learning frameworks, Large Language Models (LLMs), AI agents, and automation tools
• Support the development, validation, and testing of 5G and next-generation communication protocols
• Collaborate with software, RF, systems, and data-focused engineering teams
• Contribute to performance analysis, software automation, and optimization of telecom systems
• Participate in software design, implementation, debugging, testing, and validation activities
• Assist with AI model integration, evaluation, and data-driven engineering workflows
• Support technical investigations and system-level problem solving

What You’ll Gain

• Hands-on experience applying AI and machine learning to real‑world telecommunications challenges
• Exposure to 5G, wireless communications, networking protocols, and telecom technologies
• Experience across the complete software development lifecycle
• Practical use of modern AI tools, LLM workflows, and machine learning frameworks
• Exposure to software engineering best practices, automation, and system validation
• Mentorship from experienced engineers and researchers
• The opportunity to contribute to innovative projects with real business impact

Job Responsibilities

• Participate in software development lifecycle activities, including design, implementation, testing, and validation
• Support AI/ML model development, integration, and evaluation
• Assist with protocol analysis and system-level problem solving
• Collaborate with internal teams and support technical activities

Essential Qualifications

• Currently pursuing a degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science,
• Software Engineering, Telecommunications, or a related discipline
• Strong Python programming skills
• Understanding of machine learning fundamentals and data processing concepts
• Strong analytical and problem-solving abilities
• Ability to work effectively within a collaborative engineering environment
• Strong communication and interpersonal skills
• Enthusiasm for learning new technologies and solving technical challenges

Highly Desirable Skills

• Experience with AI/ML frameworks such as PyTorch, TensorFlow, or Scikit-learn
• Familiarity with Hugging Face, model deployment, or MLOps concepts
• Experience using LLMs, AI agents, prompt engineering, or AI-assisted development tools
• Exposure to Microsoft Copilot, OpenAI APIs, Claude CLI, or similar AI technologies
• Knowledge of telecommunications, networking, or 5G protocols
• Understanding of signal processing, time-series analysis, or protocol stack concepts
• Experience with C, C++, C#, or .NET technologies

Ideal Candidate

You are passionate about software development and emerging AI technologies. You enjoy solving technical problems, experimenting with new tools, and applying machine learning to real-world engineering challenges. You are curious about wireless communication systems, 5G technologies, intelligent automation, and how AI can be used to improve complex engineering workflows.

Candidates must be eligible to work in the United Kingdom.

This position is intended for students undertaking a placement year and available for a full 12-month internship.

Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

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