Dimensional Variation Analysis Engineer

Tata Technologies Ltd.; Pune District; Sur place; INR 900 000 - 1 300 000; Plein temps

Résumé du poste

Tata Technologies Ltd. invites an experienced Dimensional Variation Analysis Engineer in Pune to lead DVA and tolerance stack-up studies for complex assemblies. You will apply 3DCS v7.8 and VisVSAtools, drive variation reduction, and collaborate across design, manufacturing and quality teams.

Responsibilities include developing robust measurement strategies, mentoring junior engineers, and contributing to design reviews with a strong GD&T foundation based on ASME Y14.5 standards.

Qualifications

• Strong hands-on experience in DVA and tolerance stack-up analysis for complex assemblies.
• Proficient in 3DCS v7.8 for Monte Carlo simulation, RSS, and worst-case analysis.
• ASME Y14.5 GD&T expert for functional and producible designs.

Responsabilités

• Lead dimensional variation analyses using 3DCS and VisVSAtools.
• Develop strategies to reduce dimensional variation in products and processes.
• Collaborate with design, manufacturing, and quality teams to identify sources of variation.
• Document analysis methodologies and corrective actions.
• Provide mentoring and technical guidance to junior engineers.
• Conduct root cause analysis and implement corrective actions.
• Support measurement systems and calibration activities.
• Participate in design reviews and set tolerances.

Connaissances

Dimensional Variation Analysis (DVA)

Tolerance stack-up analysis

GD&T (ASME Y14.5)

2D/3D dimensional analysis

Measurement systems / MSA

Root cause analysis

Collaboration across teams

Technical documentation

Mentoring juniors

Time management

Formation

Bachelor's degree in Mechanical / Automotive Engineering

Outils

3DCS v7.8

VisVSAtools

CATIA V5

CMM inspection planning

Description du poste

Dimensional Variation Analysis Engineer

Scope of Role

DVA, Tolerance stackup

Area of Responsibility

• Lead and perform dimensional variation analysis using 3DCS (v7.8) & VisVSAtools.
• Develop and implement strategies to control and reduce dimensional variation in products and processes.
• Collaborate with design, manufacturing, and quality teams to identify potential sources of variation and recommend corrective actions.
• Create and maintain detailed documentation of analysis results, methodologies, and corrective actions.
• Provide technical guidance and mentorship to junior engineers and team members.
• Conduct root cause analysis for dimensional variation issues and implement effective solutions.
• Support the development and validation of measurement systems and inspection processes.
• Participate in design reviews and provide input on dimensional tolerances and specifications.
• Stay updated with industry trends and advancements in dimensional analysis techniques and tools.

Knowledge / Experience - 4 to 10 Years

Essential:

• Strong hands-on experience in Dimensional Variation Analysis (DVA) and tolerance stack-up analysis for complex assemblies.
• Proficient in 3DCS v7.8 for Monte Carlo simulation, RSS, and worst-case dimensional analysis.
• GD&T expert with advanced application of ASME Y14.5 standards for functional and producible designs.
• Skilled in 2D and 3D dimensional analysis using drawings and CAD-based models.
• Proficient in CATIA V5 for model interpretation, assembly analysis, and design evaluation.
• Deep understanding of manufacturing processes and their impact on dimensional variation.
• Experienced in developing variation reduction strategies through tolerance optimization and process improvements.
• Strong capability in performing root cause analysis and implementing corrective actions for dimensional issues.
• Knowledgeable in measurement systems, CMM inspection planning, and MSA concepts.
• Effective contributor to design reviews, providing guidance on datums, tolerances, and dimensional risks.
• Demonstrates a strong collaborative mindset across design, manufacturing, quality, and supplier teams.
• Proven ability to mentor junior engineers and provide technical guidance in DVA methodologies.
• Strong time management and prioritization skills to handle multiple analyses within tight deadlines.
• Excellent technical documentation and communication skills for presenting analysis results clearly.

Qualification:

Bachelor's degree in Mechanical / Automotive Engineering or related discipline.