Company Description

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

Job Description

Roles & Responsibilities :

• The focus is set on machine learning applied to solving engineering systems which falls in the domains of fluids/solids/thermal in mechanical engineering.

• Be part of our team and model mechanical systems accurately and reduce computational cost.

• You will simulate 1D/2D/3D multi-physics models using numerical simulations, scripting and programming.

• You combine physics-based models with data-based approaches.

• You’ll be required to utilize concepts of LLMs and transformers for various applications towards simulation tools

• You will work in international teams and perform necessary development/implementation to accomplish the tasks.

• Publish research findings in reputable journals and conferences.
  

Qualifications

Educational qualification:

MS/M.Tech, PhD from top Indian institutes (IITs, IIITs, IISc etc.) or from top international institutes with good track record of research publications related to:

• Numerical methods for modelling and simulation solid/fluid/thermal systems

• AI/ML, Deep learning methods and surrogate modelling

Experience :

3+

Mandatory/required Skills :

• Proficient in Mathematics with solid engineering / physics background.

• Good knowledge of ordinary and partial differential equations.

• Sound fundamentals of Numerical methods for modelling and simulation.

• Sound understanding of Linear algebra.

• Strong in AI/ML, Deep learning, surrogate modelling methods like Operator Learning, Physics informed machine learning, Reduced order models, tabular foundational models

• Strong in system identification

• Understanding of LLMs and transformers

• Excellent programming skills in python.

• Excellent presentation and communication skills.

Preferred Skills :

• Experience with simulation tools: Matlab, Simulink, and Ansys will be added advantage.

• Experience in High performance computing will be added advantage.