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Tier-1 brand plus metro location raise interest, but niche CAE automation skillset limits overall applicant density.
Role demands automotive CAE and simulation experience, making cross-industry transferability limited.
Requires CAE domain expertise plus AI/ML and scripting skills, creating strict technical filters for shortlisting.
Own automation of CAE workflows including meshing, boundary condition setup, post-processing, and report generation.
Lead digitalization initiatives such as development of live CAE dashboards and integration of AI/ML for predictive simulations and design optimization.
Manage CAE data analysis and collaborate with testing teams to validate automated workflows against physical results.
Strong understanding of CAE tools and simulation processes within the automotive domain.
Experience applying AI/ML techniques in CAE contexts.
Proficiency in programming/scripting languages such as Python, MATLAB, JavaScript, SQL.
Familiarity with data visualization tools (e.g., Power BI) and data management platforms. Work Experience Required: Not explicitly mentioned in the JD.
Candidate thrives working at the intersection of automotive simulation engineering and software automation/digital transformation.
Experienced in using AI and machine learning to enhance CAE predictive capabilities and design processes.
Comfortable operating with diverse technical tools including PLM systems (e.g., Teamcenter) and cloud-based simulation platforms within complex engineering environments.