Intern - Software Testing

ABB E-mobility B.V.; Delft; On-site; EUR 7,800 - 10,000; Full time

Job summary

ABB E-mobility invites motivated Bachelor or Master students to join in embedded software testing and quality assurance for EV charging tech. You will learn testing processes, execute and automate tests, investigate defects, and maintain thorough documentation while collaborating with software, hardware and test engineers.

AI-assisted testing ideas will be explored responsibly. You will gain hands-on experience in a fast-paced engineering environment with opportunities to grow and develop

Qualifications

• Currently pursuing a bachelor’s or master’s degree in computer science, computer engineering, electrical engineering, or a related field.
• Basic understanding of software development and software testing principles.
• Experience with Python, C, or C++ is a plus.
• Familiarity with Git, Azure DevOps, Visual Studio, Jenkins or similar tools is advantageous.
• Basic knowledge of AI concepts or AI-assisted testing tools is a plus.
• Strong analytical and problem-solving skills with attention to detail.
• Good communication and teamwork abilities.
• Eagerness to learn and grow in a fast-paced engineering environment.
• Strong written and verbal English communication skills.

Responsibilities

• Learn the Testing Craft – Get hands-on with testing processes, tools, and EV charging products.
• Execute & Automate Tests – Run manual and automated tests to verify embedded software.
• Investigate & Report Defects – Analyze results and document defects with evidence and steps.
• Own Your Documentation – Maintain test cases, results and defect records.
• Collaborate Across Engineering – Work with software, hardware and test engineers.
• Drive Continuous Improvement – Contribute ideas to testing and automation processes.
• Explore AI-Assisted Testing – Position yourself at the forefront with AI tools for testing.

Skills

Python

C

C++

Git

Azure DevOps

Visual Studio

Jenkins

AI concepts

English

Analytical thinking

Teamwork

Education

Bachelor's or Master's in CS/CE

Tools

Git

Azure DevOps

Visual Studio

Jenkins

Job description

Are you a highly motivated Bachelor or Master student with a passion for engineering? Are you eager to dive into embedded software testing and quality assurance while gaining hands‑on experience in cutting‑edge EV charging technologies? If so, this is the perfect opportunity for you!

What will you do:

• Learn the Testing Craft – Get hands‑on with software testing processes, tools, and EV charging products, building a solid foundation in embedded software quality assurance from day one.
• Execute & Automate Tests – Run manual and automated tests to verify embedded software functionality and quality, gaining real experience with industry‑standard testing approaches.
• Investigate & Report Defects – Analyze test results, dig into failures, and report software defects with clear evidence and reproduction steps, sharpening your analytical mindset.
• Own Your Documentation – Maintain test cases, test results, and defect records, taking accountability for accurate and up‑to‑date documentation that the team relies on.
• Collaborate Across Engineering – Work regularly with software, hardware, and test engineers, developing your internal network and understanding of how product quality is built end‑to‑end.
• Drive Continuous Improvement – Contribute your ideas to improve testing, automation, and engineering processes, with a team that values fresh perspectives.
• Explore AI‑Assisted Testing – Responsibly explore AI tools for test case generation, defect analysis, and documentation, positioning yourself at the forefront of modern software testing practices.

What you will bring:

• Currently pursuing a bachelor’s or master’s degree in computer science, Computer Engineering, Electrical Engineering, or a related field.
• Basic understanding of software development and software testing principles.
• Experience with a programming or scripting language such as Python, C, or C++ is a plus.
• Familiarity with Git, Azure DevOps, Visual Studio, Jenkins, or similar tools is an advantage.
• Basic knowledge of AI concepts or AI‑assisted testing tools is a plus.
• Strong analytical and problem‑solving skills, with attention to detail.
• Good communication and teamwork abilities.
• Eagerness to learn and grow in a fast‑paced engineering environment.
• Strong written and verbal English communication skills.

If you feel ready to roll up your sleeves and join our team, here is what we can offer you:

Work with the best specialists in their field, in a diverse environment with unparalleled global reach. Feel inspired by our fast growth. You will have the accountability to own part in enabling a future of sustainable and efficient mobility. Our internship fees are:

About ABB E-Mobility

ABB E-mobility is a world leader in EV charging technology and a partner of choice for the world’s biggest electric vehicle OEMs and nationwide EV charging network operators. With a strong R&D pipeline, our robust product portfolio of innovative holistic solutions – from grid to charge point and domestic installations to large fleet depots – means we are actively enabling the future of e‑mobility, not just predicting it.

More about us

Our individual differences make us successful. Diversity, inclusion, and equal opportunities are at the core of what we do. We celebrate different experiences and perspectives, and we aim to empower everyone in the creation of sustainable solutions for people around the world.

This is an opportunity to develop your skills, contribute to meaningful technology, and explore a future career in embedded software testing and E‑mobility.

ABB E-mobility is a world leader in EV charging technology and a partner of choice for the world’s biggest electric vehicle OEMs and nationwide EV charging network operators. With a strong R&D pipeline, our robust product portfolio of innovative holistic solutions – from grid to charge point and domestic installations to large fleet depots – means we are actively enabling the future of e‑mobility, not just predicting it.