R&D Verification Engineer II

Summary / Role Purpose The R&D Verification Engineer II is responsible for the automated testing activities of Motor-CAD, a Multiphysics simulation tool utilizing complex FEA and analytical methods. In this role, the R&D Verification Engineer II use advanced engineering and software skills to help the team tackle complex issues and ensure that product requirements and quality standards are met. As a graduate with a good degree in computer science or a related field and some commercial software experience, you will join a growing and dynamic team to support the development of class-leading software. You will be a self-starter, responsible for managing your own tasks and working collaboratively. This is an excellent opportunity to bring your software skills to make a big impact in electric motor design and sustainable clean energy products. Key Duties and Responsibilities Perform automated testing activities, including the implementation, maintenance, monitoring and verification of automated build and test processes Create test plans and contribute to testing initiatives, participate in defect management Collaborate with others to analyse product features and develop automated test cases to maximise coverage Apply technical and professional knowledge in specialized areas and investigate issues in both product functionality and processes/deployments Maintain tools, infrastructure, build and testing environments for product creation team Understands and employs best practices Minimum Education/Certification Requirements and Experience BSc in Computer Science, Engineering, or related field (2:1 or above) with 2 years’ experience, or MS with no experience Strong computing skills with demonstrated knowledge of software development processes and technology Passion for crafting robust and efficient automated build and testing processes that will support developers in creating world-class software Preferred Qualifications and Skills Commercial experience with CI/CD tools e.g. Azure DevOps Experience with Python and shell scripting Understanding/experience of the unique testing challenges posed by simulation software and how standard testing practices can be adapted to suit real-life engineering needs Experience of commercial software development Ability to learn quickly and to collaborate with others in a geographically distributed team Strong aptitude in Physics and Mathematics Knowledge of software development tools