Manufacturing CAE Engineer

• Perform static and dynamic FEA simulation to validate product/process against manufacturing requirements for stiffness, rigidity & dimensional integrity. Scope includes but not limited to handling analysis, datum analysis, variation analysis etc
• Achieve process excellence metrics like 100% First Time Quality & On time delivery by adhering to standardized work for all studies
• Contribute for continuous improvements & complexity reduction initiatives in the team
• Actively participate in testing and implementation of new technologies in virtual simulations including immersive opportunities in Body & Paint domain to gain competitive advantage
• Collaborate with stakeholders to understand business problems in the CAE Domain and translate them into AI solutions
• Actively participate in Innovation & Advanced Technology projects. Represent team in organization wide innovation initiatives/ competitions
• Capture and share lessons learned with the team / SME
• Support to drive core efficiencies within the team to meet GM’s GVDP milestones as defined by the Global center
• Stay current with emerging techniques in neural networks (PINNs), multi‑physics simulation acceleration, surrogate modelling, and physics‑informed learning
• Build, refine, and productionize AI/ML models for simulation prediction, design optimization, and automation of repetitive CAE tasks in collaboration with IT/AI teams

• Master’s or Bachelor’s degree in Mechanical/Production/Automobile Engineering discipline
• 4+ years of CAE experience in Automotive OEMs / Engineering Organizations
• Sound knowledge in CAE tools such as Hypermesh, ANSA , NASTRAN, Abaqus/LS-Dyna, Optistruct
• Sound knowledge in Finite Element Analysis and Strength of Materials
• Good knowledge in Teamcenter and visualization software such as TcVIs
• Fairly good understanding of any CAD software such as UG, CATIA, PRO-E etc.
• Good knowledge of Manufacturing Requirements related to Body & Paint
• Familiarity with OpEx tools, structured problem‑solving methods, GM‑GMS principles, and workplace safety systems
• Experienced in working with multiple interfaces to deliver the results
• Basic Data analysis and research to implement process improvement opportunities
• Good verbal and written communication skills
• Problem solving & analytical skills
• Programming skills in Python, MATLAB, CAE tool-specific APIs (Altair suite, NASTRAN, ANSYS APDL, Abaqus etc.), workflow automation
• Experience with ML frameworks like Pytorch, TensorFlow
• Ability to manage multiple complex projects and assignments by closely working with SME Manufacturing CAE
• Should be able to organize and plan effectively in a fast-paced, demanding, dynamic and often ambiguous environment
• Ability to work with intercultural & multi-disciplinary teams to achieve enterprise goals
• High level of integrity, ability to deal with ambiguity, takes initiative/self-directed
• Strong problem-solving mindset and curiosity for AI/ innovation

Solid understanding of GVDP/GLP, Quality Chain, DFMEA/PFMEA would be an added advantage