Role Overview We are seeking a highly experienced Consulting R D Engineer specializing in solver-based simulation and AI-driven surrogate modeling across CFD FEA and Multiphysics domains The consultant will support R D teams product engineering groups and innovation programs by delivering advanced simulations developing customized computational workflows and enabling accelerated virtual prototyping through AI ML-based modeling This role is ideal for an expert who thrives in flexible project-driven environments and can contribute both technically and strategically Key ResponsibilitiesProvide specialized consulting services in CFD FEA and Multiphysics simulations across diverse industrial applications Execute solver-based analyses including fluid flow heat transfer structural multiphase nonlinear and coupled physics problems Develop and deploy AI ML surrogate models reduced-order models ROM and digital twin components to accelerate simulation cycles Design efficient simulation workflows including meshing boundary condition setup solver selection and convergence strategies Build custom scripts and workflow automation using Python MATLAB or C integrating simulation and AI pipelines Interpret complex simulation data generate actionable insights and recommend design improvements to client teams Engage with R D design and product engineering stakeholders to understand requirements and propose optimized simulation strategies Support HPC execution of large-scale simulations and guide clients on cluster utilization and solver performance optimization Validate models using experimental or historical data and calibrate surrogate models for accuracy and robustness Deliver technical reports presentations and advisory input to client leadership and engineering teams Provide training mentoring or capability-building sessions for client teams on simulation methods tools and AI ML applications Required Qualifications Bachelor s degree in Mechanical Aerospace Chemical Materials Civil Engineering or related fields Strong background in fluid mechanics structural mechanics heat transfer and numerical methods Expertise in major CFD tools ANSYS Fluent CFX STAR-CCM OpenFOAM COMSOL Expertise in major FEA tools ANSYS Mechanical Abaqus LS-DYNA NASTRAN COMSOL Proven experience executing complex simulations independently with minimal guidance Solid programming experience in Python required with exposure to C MATLAB for algorithm development Knowledge of discretization schemes turbulence models nonlinear FEM multiphase physics and solver stability Preferred Qualifications Consulting-Oriented Master s degree or PhD in Computational Mechanics CFD Applied Mathematics or related advanced fields Experience building and deploying ML AI models for Surrogate modeling ROM model development Data-driven prediction e g neural networks Gaussian processes Experience with ML frameworks such as TensorFlow PyTorch scikit-learn Hands-on experience integrating AI models with traditional solvers to create hybrid simulation workflows Experience with HPC clusters parallel solvers MPI OpenMP and job schedulers UDFs custom solver extensions or code-level customization in OpenFOAM Fluent Abaqus Consulting Competencies Strong ability to diagnose client needs and propose the right simulation or AI-based solutions Capable of managing multiple projects and delivering high-quality results within deadlines Excellent communication skills including client-facing discussions and technical presentations Ability to translate complex simulation outcomes into clear actionable engineering guidance Independent proactive and innovation-focused mindset Industry Experience Manufacturing Automotive EV Electronics Semiconductor Aerospace Defense Energy Renewables Thermal Systems Chemical Process Oil Gas Biomedical Engineering Consumer Products Industrial Engineering Engagement Model Contract Consulting Project-based Remote onsite or hybrid support depending on client needs Engagement may include short-term simulation tasks long-term R D support or multi-disciplinary innovation projects

📌 Consulting R&d Engineer (remote) (New Delhi)
🏢 Nexifyr
📍 New Delhi