Python Engineer

• Master’s or Ph.D. in Mechanical Engineering, Applied Mathematics, Physics, Computational Engineering, or related field.
• 5+ years of experience in numerical modeling, simulation, or scientific computing.
• Dot net programming skill
• Strong command over Python programming with experience in scientific libraries such as NumPy, SciPy, SymPy, Matplotlib, PyTorch (for PDEs), or FEniCS.
• Experience with data-driven modeling and integration of empirical data into physical models.
• Excellent debugging, problem-solving, and analytical skills.
• Strong written and verbal communication skills with ability to present technical ideas clearly.
• Experience: 5 - 10Years

Good to Have

• Basic understanding of Optics and Display
• Design, develop, and validate numerical models for solving complex physical systems (e.g., thermal, fluid dynamics, structural, electromagnetic, battery systems).
• Implement custom numerical solvers and simulation tools using Python and relevant scientific computing libraries (NumPy, SciPy, pandas, Matplotlib, etc.).
• Translate theoretical models into robust, scalable, and maintainable code for product integration or research purposes.
• Maintain code versioning using Git and ensure good software engineering practices (modular design, unit testing, CI/CD pipelines).
• Support model calibration and validation with experimental or field data