Software Development Placement

Software, Computer Science, AI/ML, Data Science, Electronic.

Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimisation. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defence, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

What does Keysight do?
See how Keysight helps leading technology companies bring breakthrough products to market.

Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Since our beginning in a Silicon Valley garage, the entrepreneurial spirit and passion at Keysight Technologies have been focused on one mission: helping customers accelerate innovation to connect and secure the world. Join us and become part of our journey as we innovate solutions that enable the Information Era and its world-changing outcomes.

We are looking for team-oriented, technically curious self-starters to join our exciting internship programme, where you will help shape the next generation of intelligent, software-driven communication systems.

About the Role

As part of our 5G Software R&D and AI/ML teams from day one, you will collaborate with experienced engineers and peers to work on high-impact, real-world problems.

This role focuses on the development, integration, and validation, test framework of AI/ML-powered solutions within communication systems, combining software engineering, data-driven techniques, and telecom domain knowledge.

You will gain hands-on exposure across the full development lifecycle—from design and implementation to testing and deployment—while contributing to innovative solutions.

Responsibilities

What You Will Work On

  • Integration, development and testing AI/ML based data-driven applications, Agents into communication system workflows
  • Work with Python-based machine learning frameworks, AI Agents, LLMs and tools
  • Support protocol development, testing, and validation in 5G and next-generation networks
  • Collaborate with cross-functional teams across software, RF, and system engineering
  • Contribute to automation, analysis, and performance optimisation and test design of telecom systems using AI tools

What You’ll Gain

  • Practical experience in AI/ML applied to real-world telecom problems
  • Exposure to 5G/mobile communication standards and protocols
  • Hands-on experience with modern tools and technologies, including:
    • Python, AI/ML frameworks, LLMs/model usage
    • C, C++, C#, .NET, WPF, Visual Studio (exposure where relevant)
    • Insight into RF systems, communication protocols, and system-level design
    • Mentorship from experienced engineers and opportunity to make meaningful contributions

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

Qualifications

Essential Skills & Qualifications

  • Currently pursuing a degree in Computer Science, AI/ML, Data Science, Electronics and Communication Engineering, or related fields
  • Strong foundation in Python programming
  • Basic understanding of AI/ML concepts (e.g., models, data processing, training workflows)
  • Problem-solving mindset with strong analytical skills
  • Effective communication and ability to work in a team
  • Demonstrated curiosity and passion for learning new technologies

Desirable Skills (Highly Valued)

  • Familiarity with Hugging Face, or similar model ecosystems and Model deployment or MLOps concepts
  • Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Hands-on experience with tools and interfaces (e.g., Claude CLI, Microsoft Copilot, OpenAI APIs)
  • Exposure to prompt engineering, LLM-based workflows, and automation via CLI tools
  • Familiarity with communication protocols (especially mobile/5G protocols)
  • Knowledge of network analysis, signal processing, or protocol stack, time series analysis or signal processing
  • Experience in C/C++, C#, or .NET technologies

Ideal Candidate Profile

You are someone who:

  • Is passionate about AI/ML and its application in real-world engineering problems
  • Has curiosity about how machine learning can enhance communication systems, RF analysis, and protocol validation
  • Enjoys experimenting with models, data, and new frameworks
  • Thrives at the intersection of software, telecom, and intelligent systems

Candidates must be eligible to work in the United Kingdom.

This position is intended for students completing their placement year and who are available for a full 12‑month internship.

We've signed the Gradcracker feedback pledge.
(This means that we will supply feedback if requested after an interview.)

1e127ede32d8f816eacfb0aed73cee11

Job ID Number: 53081
This button will open a new tab and take you directly to the employer's website.
Please remember, if asked, that you found this opportunity on Gradcracker.
Save to shortlist
Shortlisted
  • Deadline
    Ongoing
  • Salary
    Competitive + benefits
  • Degree required
    Bachelor's
  • Duration
    12 months
  • Location
    Fleet (Hampshire)
Show location/s on map
Disciplines Accepted...
  • AI/Machine Learning
  • Computer Science
  • Data Science
  • Electronic/Electrical
  • Software/Systems

The 2025/26
Gradcracker Toolkit

Explore the online version
Hot Tip
Apply to a range of employers
Don’t put all your eggs in one basket
© 2007 - 2026 Gradcracker Limited
Log in/Register
Gradcracker Limited, October House, Long Street, Easingwold, York, YO61 3HX
01347 823822
info@gradcracker.com
Company registration number: 6370348