DVA CAD Engineer: Dimensional Excellence for Automotive

McLaren Racing; Old Woking; Vor Ort; GBP 40.000 - 56.000; Vollzeit

Benefits dieser Stelle

25 days holidays

Enhanced pension

Private medical insurance

Life assurance

Sabbatical after 2 years

Wellbeing programme

Employee discounts

Zusammenfassung

McLaren Automotive is seeking a DVA CAD Designer in the UK to create and maintain CAD models and dimensional validation assets. You will support Golden Part libraries, DVA playbooks and CAD-based dimensional validation, ensuring accuracy and adherence to standards across vehicle development.

You will work with DVA Engineers, Design Engineers and Concept Engineers to translate design intent into robust dimensional definitions and drive right-first-time outcomes.

Qualifikationen

• Degree or equivalent in Mechanical Engineering, Automotive Engineering, Product Design or related discipline.
• Advanced CATIA V5 & V6 CAD modelling skills as core capability.
• Experience creating production engineering drawings and CAD models.

Aufgaben

• Create and maintain golden part CAD models and drawings.
• Develop and manage a library of dimensional engineering reference drawings.
• Support deployment of dimensional engineering best practices.
• Maintain CAD structures and configurations in PLM systems.

Kenntnisse

Degree or equivalent in Mechanical/AI?

CATIA V5

CAD modelling

Engineering drawings

Dimensional control

Class-A/CAS surface data

GA/BS888 knowledge

Data quality

Prioritisation

Ausbildung

Bachelor's degree or equivalent in Mechanical/Automotive/Product Design

HND or equivalent qualification

Tools

3DCS

VisVSA

Jobbeschreibung

McLaren Automotive is seeking a DVA CAD Designer in the UK to create and maintain CAD models and dimensional validation assets. You will support Golden Part libraries, DVA playbooks and CAD-based dimensional validation, ensuring accuracy and adherence to standards across vehicle development.

You will work with DVA Engineers, Design Engineers and Concept Engineers to translate design intent into robust dimensional definitions and drive right-first-time outcomes.