R&D Verification Engineer II
Scotland, United Kingdom
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