Python Engineer with experience on Camera/Optics and display

Skill set:
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.