Lead Engineer – Dimensional Variation Analysis (DVA)

Jobtailor; Chennai District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Jobtailor is seeking a Senior Dimensional Engineer to lead DVA activities for vehicle systems and sub-systems, perform tolerance stack-up analysis, apply GD&T standards, and drive dimensional quality across programmes.

You will mentor a team, manage timelines and risks, collaborate with global design, manufacturing, and supplier teams, and push standardisation and continuous improvement in dimensional engineering.

Qualifications

• Bachelor’s or Master’s degree in Mechanical or Automotive Engineering or related field.
• Minimum 10 years of experience in dimensional engineering or variation analysis.
• Experience in automotive OEM or Tier-1 supplier environment.
• Strong expertise in GD&T and tolerance stack-up analysis.
• Hands-on with 3DCS, CETOL, VisVSA or equivalents.

Responsibilities

• Lead DVA activities for vehicle systems and sub-systems.
• Perform and review tolerance stack-up analysis across 1D, 2D, and 3D environments.
• Apply GD and T standards across product designs.
• Mentor a team of engineers and drive continuous improvement.
• Collaborate with global engineering teams to meet programme milestones.
• Define and track KPIs for dimensional quality and variation control.
• Manage timelines, risks, and stakeholder expectations.

Skills

Dimensional engineering

Tolerance stack-up analysis

GD&T

Program management

Stakeholder engagement

Monte Carlo analysis

Statistical analysis

Communication

Team leadership

Problem solving

Education

Bachelor’s or Master’s degree in Mechanical or Automotive Engineering

Tools

3DCS

CETOL

VisVSA

Job description

• Lead DVA activities for vehicle systems and sub-systems
• Perform and review tolerance stack-up analysis across 1D, 2D, and 3D environments
• Apply GD and T standards (ASME or ISO) across product designs
• Conduct feasibility studies and optimise tolerances to meet functional and aesthetic requirements
• Lead root cause analysis of dimensional issues and drive corrective actions
• Use advanced dimensional analysis tools such as 3DCS, VisVSA, CETOL, or equivalents
• Perform simulation-based validation for dimensional performance
• Support digital validation processes within product development cycles
• Own dimensional deliverables across vehicle programmes
• Manage timelines, risks, and stakeholder expectations
• Define and track KPIs for dimensional quality and variation control
• Collaborate with global engineering teams to meet programme milestones
• Work closely with design, manufacturing, quality, and supplier teams
• Ensure alignment between design intent and manufacturing capability
• Drive standardisation and best practices in dimensional engineering
• Lead and mentor a team of engineers
• Drive continuous improvement initiatives in dimensional analysis practices
• Support innovation in modelling, simulation, and validation approaches

Requirements

• Bachelor’s or Master’s degree in Mechanical or Automotive Engineering or a related field
• Minimum 10 years of experience in dimensional engineering or variation analysis
• Experience in automotive OEM or Tier-1 supplier environment
• Strong expertise in:
• - GD and T (ASME Y14.5 or ISO standards)
• - Tolerance stack-up analysis
• - Dimensional Variation Analysis methods
• Hands‑on experience with tools such as:
• - 3DCS
• - CETOL
• - VisVSA or similar platforms
• Strong understanding of:
• - Body-in-White, closures, interiors, or vehicle systems
• - Manufacturing and assembly variation
• Knowledge of statistical analysis methods such as Monte Carlo and worst-case analysis
• Familiarity with quality systems and automotive standards
• Proven experience leading technical teams
• Strong programme management and stakeholder engagement skills
• Effective communication across global and cross-functional teams
• Ability to drive problem-solving and decision-making.

Core Competencies

Demonstrates expertise in Dimensional Engineering and Variation Analysis, with a strong focus on GD and T standards, Tolerance Stack-Up Analysis, and advanced dimensional analysis tools. Proven ability to lead teams, manage projects, and drive continuous improvement in automotive engineering processes.

Highest-signal resume keywords

• GD and T (ASME Y14.5 or ISO Standards)
• Tolerance Stack-Up Analysis
• Dimensional Variation Analysis Methods
• 3DCS, CETOL, VisVSA
• Programme Management

ATS Optimization Keywords

Hard Skills

• Dimensional Engineering
• Tolerance Stack-Up Analysis
• Dimensional Variation Analysis
• Statistical Analysis Methods
• Monte Carlo Analysis
• Worst-Case Analysis

Soft Skills

• Effective Communication
• Stakeholder Engagement
• Problem-Solving
• Decision-Making

Industry Keywords

• Automotive OEM
• Tier-1 Supplier
• Body-in-White
• Manufacturing Variation
• Quality Systems

Tools & Technologies

• 3DCS
• CETOL
• VisVSA