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Tier-1 brand and metro location increase competition, but niche CFD+ML specialization reduces candidate density.
Highly domain-specific automotive paint shop and CFD expertise limits cross-industry transferability.
Multiple mandatory, domain-specific skills and a 6+ years requirement create strict shortlisting filters.
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Perform electrocoat thickness prediction, fluid access & drainage studies, oven bake simulation, and special flow behavior analyses in automotive paint shops.
Collaborate with stakeholders to solve CFD business challenges using API-based customization and AI methods; contribute to continuous process improvements.
Represent paint simulation in forums; participate in global product development councils and technical meetings to meet KPIs like 100% First Time Quality and On-Time Delivery.
Bachelor’s degree in Mechanical, Aeronautical, Chemical, or Automobile Engineering (Thermal Engineering specialization preferred).
6+ years of paint process and simulation experience in Automotive OEMs or Engineering Organizations.
Mandatory skills: knowledge of fluid mechanics, heat transfer, CFD concepts, and experience with large-scale CFD data handling.
Work arrangement: Hybrid with expected office presence four times per week; no immigration sponsorship available.
Experienced in automotive paint shop processes with strong expertise in CFD simulations and related software (e.g., StarCCM+, ALSIM, Hypermesh, ANSA).
Skilled in AI/ML technologies including frameworks like PyTorch and TensorFlow, and familiar with surrogate modeling and reduced-order modeling techniques.
Able to work with multi-disciplinary, intercultural teams, utilizing strong coding skills in automation and business intelligence tools for process improvements.