Graduate Engineer Trainee (CFD/CAE Domain) - BE/Mtech Mechanical Freshers and related branches
--My Company--
Job Title: Graduate Engineer Trainee (CFD/CAE Domain)
Department: Design and Analysis
Location: Chennai / Bangalore (Client R&D Centers)
Openings: 25 Positions
Job Summary
Exciting opportunity for fresh engineering graduates to begin their career in Computer-Aided Engineering (CAE/CFD) with us. Selected candidates will be trained and prepared as per OEM standards and later deployed at leading automotive R&D centers.
Eligibility Criteria
- Qualification: B.E / B.Tech / M.E / M.Tech in Mechanical, Automobile, Aerospace, Industrial Production, or Industrial Engineering & Management.
- Year of Passing: 2022 / 2023 / 2024 / 2025
- Experience: Freshers only
- Aggregate: 50% and above
- Gender: Male candidates preferred
Required Skills
- Basic understanding of engineering design and FEA concepts.
- Good analytical and communication skills.
- Enthusiastic, quick learner, and adaptable to new technologies.
- Willingness to relocate based on project needs.
Job Description
Selected candidates will undergo a structured technical training program focused on CAE tools and methodologies used in the automotive and aerospace industries.
After successful completion of the training and internal assessments, candidates will participate in client evaluation rounds. Upon clearing these, they will be deputed to OEM R&D centers such as Ford, Renault, and Chrysler for project assignments.
Selection Process
- Technical Aptitude Test
- Personal Interview
- Client Round (Post Training)
About the Company
Founded in 2015, we are a fast-growing engineering services organization with a presence across automotive, aerospace, and industrial sectors. We have successfully deployed over 700+ engineers at top-tier clients including Eicher, Assystem, Altran, TCS, Alten, L&T, HCL, Wipro, Easi-Allegis, and Semcon, supporting end clients such as Ford, Renault, Mercedes, and Chrysler.
We focus on creating industry-ready engineers by bridging the gap between academic learning and real-world engineering applications.