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Salary
≈ $12k – $32k per year (Estimated)
Location
In office (Livonia)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Sep 3, 2026. Tata Technologies scores C on the Alion truth index.

Overview
Company
Impact
Profile match
Tata Technologies provides product engineering and digital services to manufacturers. Its work spans vehicle development, electrification and manufacturing simulation. The company also delivers education and skilling programmes for industry.

Title: CAE Durability Engineer

Desired Experience: 5+ years: CAE Durability Engineer

Location: Livonia, Michigan, United States (On-site)

Role Overview

We are seeking experienced CAE Durability Engineers to support Transmission Driveline Engineering (TDE) programs involving conventional transmissions, driveline systems, hybrid powertrains, and battery electric vehicle (BEV) applications. The engineers will be responsible for conducting finite element based durability analyses, correlating CAE results with physical test data, supporting design optimization, and delivering engineering recommendations for product development, quality improvement, and warranty reduction initiatives.

Key Responsibilities

  • Prepare and clean CAD geometry for CAE model development and analysis.
  • Develop finite element models for transmission, driveline, axle, hybrid, and BEV components and systems.
  • Perform durability and structural analyses following established CAE best practices.
  • Interpret simulation results and provide engineering recommendations to improve product robustness and durability.
  • Conduct analytical evaluations supporting new product development, quality improvements, warranty investigations, and cost reduction initiatives.
  • Correlate CAE predictions with laboratory and vehicle test data.
  • Collaborate with design engineers, testing teams, materials engineers, metrology teams, manufacturing, quality, suppliers, and cross-functional stakeholders.
  • Support planning and execution of hardware testing activities required for model validation and correlation.
  • Analyze engineering data, identify trends, and support root cause investigations.
  • Develop technical reports and present analysis findings to engineering leadership and program teams.
  • Document modeling methodologies, assumptions, results, and lessons learned.
  • Support continuous improvement of CAE processes, analytical methods, and best practices.
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