Experience in the automotive industry or product development setting.
Familiarity with product lifecycle management (PLM) systems.
Understanding of features, options, and variant management principles.
Experience with large assembly management and performance optimization in CAD
Expert-level proficiency in CATIA and Dassault Systems 3DExperience (3DX) platforms.
Extensive experience with various CAD modelling techniques, including solid modelling, surface modelling, and assembly modelling.
Demonstrated experience in CAD assembly decomposition, re-structuring, and block generation, including assembly exploded view creation.
Strong understanding and practical application of product structure principles within CAD environments.
Proficiency in creating detailed technical drawings from CAD models.
Knowledge of vehicle coordinate systems (VCS, VSS, etc.) and their application in CAD.
Good knowledge of vehicle architecture and its implications for CAD design and product structure.
Experience in handling positional variabilities in CAD models for effective variant management.




Proficiency in managing and compiling complex variant data, ideally using Microsoft Excel.
Strong analytical skills with the ability to evaluate complex CAD structures and their relationship to product features and options.
Excellent attention to detail and organizational skills.
Ability to work effectively in a structured, sequential workflow.

SEGULA Technologies is a global engineering group, boosting the competitiveness of all major industrial sectors: automotive, aerospace, energy, rail, naval, life sciences, and telecoms. With a presence in more than 30 countries and 140 locations worldwide, the Group prioritizes close relationships with its clients, driven by the expertise of its 15,000 employees. As a leading engineering player putting innovation at the heart of its strategy, SEGULA Technologies manages large-scale projects, ranging from initial studies to industrialization and production.

📌 Lean PD (Chennai)
🏢 Segula Technologies
📍 Chennai