Process Simulation

15 hours ago


Bengaluru, India Mercedes-Benz Full time

Tätigkeitsbereich:Forschung & Entwicklung incl. DesignFachabteilung:Digital Strategy & Business Process ManagementGesellschaft:Mercedes-Benz Research and Development India Private LimitedStandort:Mercedes-Benz Research and Development India Private Limited, BangaloreStartdatum:..6Veröffentlichungsdatum:..5Stellennummer:MER3VArbeitszeit:Vollzeit BewerbenAufgabenAbout MBRDI:Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. Key Responsibilities:• Execute CFD simulations for multiphase flows (VOF) to support advanced painting applications.• Perform Conjugate Heat Transfer (CHT) analyses for oven-related engineering use cases.• Use Abaqus to compute and evaluate forces acting on vehicle structures.• Develop data-driven models to predict temperature profiles during the drying process.• Design and implement toolbars and automation features for the Metapost application.• Automate post-processing workflows for simulation tasks.• Research, develop, and implement novel simulation methods, including meshless approaches and integration into Digital Twin platforms. Required Skills and Experience:• + years of experience in CFD/CAE simulations.• Strong expertise in STAR-CCM+ and Abaqus.• Strong theoretical knowledge in FEM and CFD.• Experience developing and deploying ML models using PyTorch, TensorFlow, or JAX.• Strong understanding of ML concepts, statistics, and data analysis.• Proficiency in Python with strong problem-solving and algorithmic-thinking skills.• Experience deploying AI-assisted simulation tools (CI/CD, version control, Docker, MLflow).• Background in SciML: reduced-order modeling, surrogate modeling, uncertainty quantification.• Experience integrating AI into CAE workflows (STAR-CCM+, Abaqus, custom pipelines).• Familiarity with PINNs, operator learning, and physics–ML frameworks (DeepXDE, NVIDIA Modulus).• Strong German language skills (B2, business fluent).• Experience working with cross-functional teams and influencing product decisions.• Experience developing novel simulation methods. QualifikationenEducational Qualifications:• PhD in Computational EngineeringOR• Master’s degree in Mechanical, Automotive, Aerospace Engineering, or Data Science with a foundation in Computational Engineering Preferred Qualifications (Good to Have):• Experience with meshless simulation methods, digital twin integration, and CAE-AI workflows.• Exposure to global engineering projects and distributed teams.• Experience with Daimler/MB tools and processes.• Familiarity with advanced physics–ML simulation technologies. Why Join Us?• Be part of a purpose-driven organization shaping the future of mobility.• Work on cutting-edge technologies and global projects.• Thrive in a collaborative, diverse, and inclusive environment.• Access world-class infrastructure and learning opportunities. Equal Opportunity Statement:At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability. BenefitsMit­arbeiter­rabatte möglichGesund­heits­maß­nahmenMit­arbeiter­handy möglichEssens­zulagenBetrieb­liche Alters­ver­sorgungHybrides Arbeiten möglichMobilitäts­angeboteMit­arbeiter EventsCoachingFlexible Arbeits­zeit möglichKinder­betreuungPark­platzKantine, CaféGute An­bindungBarriere­frei­heitBetriebs­arzt We need your consent to load the Youtube service We use a third party service to embed video content that may collect data about your activity. Please review the details and accept the service to watch this video. This content is not permitted to load due to trackers that are not disclosed to the visitor. The website owner needs to setup the site with their CMP to add this content to the list of technologies used. Powered by


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