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