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Job Summary We are seeking a highly skilled and experienced Design Convergence Lead (DCL) - Dimensional to join our team in Chennai. This role will focus on ensuring dimensional accuracy and convergence across design and manufacturing processes within the Automotive industry. Key Responsibilities The Design Convergence Lead will be responsible for leading convergence activities, ensuring alignment between design, engineering, and manufacturing teams. This includes facilitating communication, resolving discrepancies, and ensuring adherence to industry standards and best practices. Required Skills & Qualifications Analytical Skills: Demonstrated ability to analyze complex data, identify trends, and draw meaningful conclusions to support design decisions and process improvements. Problem-Solving Skills: Proven ability to identify, analyze, and resolve design and manufacturing related problems effectively and efficiently. Communication Skills: Excellent written and verbal communication skills, with the ability to clearly and concisely convey technical information to diverse audiences. Convergence Skill: Expertise in facilitating and leading design convergence activities, ensuring alignment and consistency across teams. GD&T (Geometric Dimensioning and Tolerancing): Comprehensive understanding and practical application of GD&T principles to define and control part geometry. ASME (American Society of Mechanical Engineers): Familiarity with ASME standards and best practices related to mechanical design and manufacturing. ISO (International Organization for Standardization): Knowledge of ISO standards relevant to quality management and dimensional control. Nx: Proficiency in using Nx for 3D modeling and design. Catia: Experience with Catia for 3D modeling and design. PLM (Product Lifecycle Management): Understanding of PLM systems and their role in managing product data. TC (Teamcenter): Experience with TC for product data management. RSS (Root Sum Square): Knowledge of RSS principles for tolerance stack-up analysis. 3DCS (3D Coordinate Systems): Experience using 3DCS for tolerance analysis and verification. Vis VSA (Visibility Variation Simulation Analysis): Proficiency in using Vis VSA for variation analysis and simulation. Statistical Process Control: Understanding of Statistical Process Control (SPC) techniques for monitoring and controlling manufacturing processes. Measurement Data Analysis: Ability to analyze measurement data to identify trends, root causes, and opportunities for improvement. Qualifications: A Bachelor of Science degree in Mechanical Engineering or a related field is required. Experience Required: A minimum of 6-9 years of experience in a related role, demonstrating a strong understanding of design convergence and dimensional control principles. This level of experience is expected to include leading projects and mentoring junior engineers. What We Offer Salary:
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