Extended Reality (XR) Engineer

​POSITION DESCRIPTION:

Extended Reality:

• Review Leadership: Prepare, manage, and facilitate immersive XR reviews (Powerwall, HMD, and Desktop) for internal and external customers to support Attribute Assessments and Program Gateway Reviews.

• Data & Workflow Management: Manage the department's operational metrics and workflow systems. Utilize PowerBI, Excel, and SharePoint to maintain dashboards that track project status and efficiency.

• Data Pipeline: Use Teamcenter to extract complex CAD data, clean and optimize models, and maintain up-to-date variants within Autodesk VRED to ensure production-ready visualizations.

• Tool Development: Collaborate with customers to develop tailored review environments that serve as active decision-making tools (e.g., integrating decision matrices into the visual session).

• Continuous Improvement: Actively contribute to the continuous development of XR tools and delivery at Ford, identifying opportunities to automate processes and integrate new technologies.

Skills Required:

• Technical & Analytical: Strong problem-solving skills with the ability to bridge the gap between visual fidelity and data logic.

• Data Proficiency: Advanced knowledge of Microsoft Office, specifically Excel (complex data handling), Access, and PowerBI (dashboard creation/maintenance).

• Visualization: Functional experience with high-fidelity visualization tools (e.g., VRED, UNREAL, or similar).

• Collaboration: Excellent people, presentation, and communication skills, with the ability to translate technical concepts for non-technical stakeholders.

Skills Preferred:

• Ford Systems: Knowledge of Ford Motor Company internal systems, specifically Teamcenter (structure management) and VisMockUp.

• Advanced Visualization: Deep understanding of Autodesk VRED (variants, scene optimization) and Game Engine tools (Unreal Engine).

• Programming: Experience coding in Python (for scripting/automation) or C++.

• AI & Innovation: Strong understanding of LLMs (Large Language Models) and how they can be applied to generate responses or automate engineering workflows.

• IT Infrastructure: Background in IT hardware, networking, and XR hardware systems (HMDs, tracking, render nodes).

Experience Required:

• No direct experience required if the candidate holds a degree in a Science, Technology, Engineering, or Mathematics (STEM) based subject.

Experience Preferred:

• 3-5 Years of visualisation experience or relevant industry.

Education Required:

• Degree in a Science, Technology, Engineering, or Mathematics (STEM) based subject.

Education Preferred:

• Masters Degree in a Science, Technology, Engineering, or Mathematics (STEM) based subject.