Senior Engineer - CAE / CFD Simulation

Work Arrangement:

This role is categorized as hybrid. This means the successful candidate is expected to report to the office four times per week or other frequency dictated by the business.

The Role

This role is referred as CAE / CFD Simulation engineer and you are responsible to perform CAE (Computer-Aided Engineering) and CFD (Computational Fluid Dynamics) simulations for all GPS product programs across General Motors will report to Engineering Manager GPS. You will be based in GM Technical Center India, Bangalore and working with global stakeholders to plan deliver the studies meeting all KPIs.

What You'll Do

• Perform Heat transfer analysis fluid-solid interactions studies.
• Achieve process excellence metrics such as 100% First Time Quality, 100% On time delivery through standardized work.
• Perform special simulation studies as part of Digitization.
• Provide and implement continuous / process improvement ideas within the team.
• Seek evaluate stake holder feedback and drive changes as appropriate.
• Represent GPS team in the appropriate forums and participate in global meetings and report out project progress updates.
• Capture and share lessons learned within the team and with global center.
• Enhance teams capabilities by bringing in innovation.

Your Skills Abilities (Required Qualifications)

• Bachelors degree in Mechanical / Production / Automobile Engineering discipline.
• 5+ years of GPS process simulation experience from Automotive OEMs / Engineering Organizations.
• Good knowledge of Automotive Vehicle / Propulsions System processes and product launch.
• Good knowledge of Teamcenter, NX, Vismockup, AutoCAD, MS Project and MS Office applications.
• Good understanding of GPDP, Quality Chain DFMEA - PFMEA.
• Good knowledge in STAR-CCM+ / ALSIM
• Good knowledge in any of the CAE/FEA tools HyperMesh, HyperCrash, HyperView, LSPP, SimLab, ANSA, Optistruct, Nastran, LS-Dyna, etc.,
• Good knowledge of fluid mechanics, heat transfer and computational fluid dynamics concepts.
• Good understanding in AI/ML technologies algorithms.
• Good knowledge on process automation and business intelligence tools (C/C++, Java, VB script, Python, Power BI etc.,)
• Good knowledge of Project Management methodologies (Waterfall, Agile).
• Good knowledge of GM-GMS Principles and Workplace safety systems.
• Good knowledge of OpEx tools, Six sigma and Red X methodologies.
• Basic Data analysis and research to implement process improvement opportunities.
• Good verbal and written communication.
• Interpersonal, Problem solving Analytical skills.
• Basic Quality tools.
• Ability to work with intercultural, diverse multi-disciplinary teams to achieve enterprise goals.
• Ability to manage multiple projects / assignments with high level of autonomy and accountability for results.
• High level of integrity, ability to deal with ambiguity, takes initiative/ self-directed.