CAE Engineer – AI CFD and Thermal

• Senior Engineer / Lead Engineer AI CFD will Drive AI innovation in CFD/Thermal domain
• 5+ years experience in CFD/Thermal simulations related to Semiconductor/Aero/Automotive Product Development / Manufacturing Engineering
• 2+ years experience in implementing AI solutions in CFD/Thermal simulations
• Requires strong knowledge of CFD, Heat Transfer and Pre & Post processing of CFD Tasks
• Must have knowledge of commercially available CFD analysis tools such as Ansys Mesher, Ansys Fluent, Ansys WB, CFD-ACE+ modules
• Knowledge of statistical methods and tools (JMP, Minitab) and AI tools (Ansys SimAI and Altair PhysicsAI)
• Exposure to Chemical reactions/Plasma simulations is an added advantage

Key Responsibilities

• Collaborate with stakeholders to understand business challenges in the CFD/Thermal space and solve them using API based customization and AI methodologies
• Automating mesh generation, solver setup, and post-processing of CFD and thermal analysis results
• Building optimization pipelines for thermal and fluid systems using AI-assisted approaches
• Evaluate, validate, and benchmark model performance using appropriate metrics
• Deploying AI models into production environments in collaboration with IT/AI teams
• Establish monitoring and maintenance processes to ensure model accuracy over time
• Ensure that all AI solutions comply with organizational data security, confidentiality, and regulatory requirements
• Document workflows, results, and lessons learned for organizational knowledge sharing
• Stay updated on advancements in neural networks, multi-physics simulations, surrogate modelling and physics-informed learning techniques

Functional Knowledge

• Must have in-depth knowledge of Fluid dynamics and Heat Transfer
• Strong skills in problem solving, teamwork and quality
• Strong programming skills in Python and C++ for automation and solver integration
• Familiarity with Bayesian optimization and DOE
• Experience with ML frameworks like TensorFlow
• Knowledge of surrogate modeling, reduced-order modeling (ROMs), and regression techniques
• Experience in data handling (large-scale CFD datasets) and feature engineering (feature extraction from flow fields like velocity, pressure, turbulence quantities)
• Experience in domain-specific AI use cases (Semiconductor, manufacturing etc.)

Academic Qualifications

• B.E/ B. Tech, MS/M.Tech in Mechanical - Thermal and Fluids Engineering or MS/M.Tech in Chemical engineering with 5+ years of experience in Flow/Thermal/Chemical Engineering domains.

Preferred Attributes

• Strong problem-solving and analytical mindset
• Strong attention to detail and organizational skills
• Excellent communication skills for presenting complex findings to stakeholders
• Ability to work independently and collaboratively in a fast-paced environment
• Proactive approach to process improvement and automation