Placement Student - E-Mobility Engineer

Cummins Inc.United KingdomOn-siteInternshipListed 1 hour ago

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About this role

We are looking for an enthusiastic engineering student to join our Electric Powertrain Product Development Engineering team in Cwmbran, UK. This placement offers hands-on exposure to product development, systems engineering, verification and validation, and engineering test-lab activities. You will work alongside experienced engineers on real projects, helping develop and validate electric powertrain technologies while building practical engineering skills.

This placement is 100% onsite, Monday to Friday, in Cwmbran, beginning Summer 2027.

In this role, you will make an impact in the following ways:

• Support product development activities from early engineering concepts through prototype builds, integration, testing and design improvements.

• Contribute to systems engineering tasks, including understanding requirements, interfaces, system architecture and traceability between requirements and verification evidence.

• Assist with planning, preparing and executing component, subsystem and electric powertrain integration tests under appropriate supervision.

• Gain practical experience in a test-lab environment, including test setup, instrumentation, sensors, data acquisition and safe working practices.

• Analyse test results, investigate performance trends and support troubleshooting, root-cause analysis and engineering problem solving.

• Help document test procedures, test reports, engineering findings and recommendations for design or system improvements.

• Collaborate with mechanical, electrical, software, controls and test engineers across multidisciplinary projects.

• Use engineering tools such as CAD, MATLAB and Excel to review designs, process data and communicate technical results.

Relevant technical interests (desirable)

• Engineering fundamentals: mechanics, electrical systems, controls, thermal management and instrumentation.

• Requirements management, verification and validation, and system-level integration.

• Test methods, measurement uncertainty, sensors, data logging and interpretation of experimental results.

• CAD, MATLAB/Simulink, Python or similar engineering analysis tools.

Closing date: Tuesday 22nd December at 11:59PM