Early Career - Attributes Method Engineer

We are seeking a driven Attributes Methods Engineer to develop, implement, and maintain scalable engineering processes, data systems, and tooling. In this role, you will be a key technical contributor within the Architecture, Safety \& Attributes (ASA) team, working independently to bridge the gap between engineering needs and software/data solutions. You will go beyond identifying inefficiencies to actively building data management pipelines, automating simulation (CAE/CFD) workflows, and deploying tools that improve the quality and speed of vehicle development. Your ability to collaborate across teams and deliver robust, user\-friendly solutions will be critical to our success **No Visa Sponsorship** * Continuous Improvement: Identify gaps and inefficiencies in current processes and propose creative and practical solutions. * Workflow Automation: Mainly Python based scripting to automate repetitive tasks. * Tooling Development: Build and maintain in\-house desktop and web applications, automation scripts, and databases to support engineering workflows at scale. * Process Integration: Collaborate with attribute teams, IT, and PLM departments to seamlessly integrate departmental workflows into broader company platforms * Optimization and AI: Understand the latest tools and methods available and apply where appropriate to gain process efficiency. * Cross\-Functional Collaboration: Work closely with other teams and individuals, including vehicle attribute and design engineers, to support shared goals and projects. * Communication: Clearly communicate your ideas, findings, and progress to the team and adapt your approach where necessary to achieve the best outcome. * Documentation: Produce clear and structured guides for any tools or processes developed. * Problem Solving: Act as a technical resource for process and methods; troubleshoot complex workflow bottlenecks and implement sustainable, automated fixes. * Advanced Analysis Support: Support the integration of High\-Performance Computing (HPC) optimizations and advanced analytics to accelerate CAE and engineering analysis * An undergraduate degree in software engineering, computer / data science or engineering, coupled with a proven track record (ideally 2\-4 years experience). * Fundamental understanding and knowledge of mechanical, automotive, or aerospace principles. * Proficiency in coding with Python. * Proficiency in AI, including agent creation, coding / software development, process automation * Demonstrated ability to collaborate effectively within a team environment. * Strong communication skills with the ability to convey technical information clearly. * An adaptable mindset with a proven ability to compromise when necessary. * An appreciation for the power of intuition in developing robust processes. * Preferred Qualifications: + An understanding of an engineering development process + A keen interest in AI in general + Experience in Graphical User Interface (GUI) development. + Familiarity with the principles of virtual vs. physical testing. + Version control (Git) + Knowledge of web development technologies