Level

Valeo

Discipline Engineer

Valeo is hiring a Discipline Engineer in Chennai, India. Level rates it ; you can apply on Valeo.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Level classes it as a junior role.
  • Valeo has 1,000+ other open roles on Level.
  • Posted within the past two weeks.

AI in this role

Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.

Responsiblities:


  • Perform the electronic reliability simulations.
  • Solving the simulation convergence issues.
  • Post processing and Results interpretation.
  • Validate mechanical design and propose solutions to improve design modifications.
  • Validation of simulation results by comparing with test results.
  • Supporting methodology development and benchmarking simulation tools applications.
  • Time planning, Tracking and updating the status of the customer.
  • Document and share best practices.
  • Successfully handle multiple priorities.

Education/Training

  • Bachelor/Master’s Degree in Mechanical Engineering from a reputed institute or university

Professional Experience

  • Candidates must have around 1-4 years of significant professional experience in FEA analysis using Ansys Sherlock and  workbench.
  • Good theoretical knowledge on core Mechanical subjects like SOM, Dynamics and Fatigue.
  • Good experience in thermal,nonlinear simulations, Vibration simulations (Modal, Harmonic, PSD, Transient) and Optimization.
  • Good in understanding of Automotive Systems
  • Good problem solving and communication skills
  • - Notion in electronics
  • - FEA calculation performed / a plus, and Ansys Sherlock is another plus

Key Competences (Transversal/Professional)
Competence

Level

Commitment to quality and customer satisfaction, communication abilities

Commitment to best automotive quality standards and product standardization

Team building

Interpersonal skills and Team player

Technical Software (CAD/CAE/CFD/MBD)

Ansys Sherlock, Ansys workbench 

Other desirable competencies 

Ability to communicate with engineers & team leaders in the simulation area.

Material

Fundamental understanding of FEA

Agility and adaptability

Rigorous and analytical mindset, potential to grow


Languages

ENGLISH : Fluent


Other Specifications

Candidate must be willing to stretch working hours based on job criticality


Candidate must fit and show ability to comply with overall Valeo Values: Ethics, Transparency, Empowerment, Professionalism and Teamwork

Job:

Engineering Disciplines

Organization:

GTSC Mechanical

Schedule:

Full time

Employee Status:

Regular

Job Type:

Permanent contract

Job Posting Date:

2026-10-09

Join Us !
Being part of our team, you will join:
- one of the largest global innovative companies, with more than 20,000 engineers working in Research & Development
- a multi-cultural environment that values diversity and international collaboration
- more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
- a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development

More information on Valeo: https://www.valeo.com

How we rate this

Discipline Engineer at Valeo rates 34 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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