At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.
Enhance the aerodynamic analysis framework by integrating AIābased automation.
Develop and improve tools that support engineering analysis and validation.
Contribute to clear, structured documentation for internal and future users.
Support the creation of a scalable framework that enables broader user contributions.
Assist in setting up test environments and validation workflows for the tools developed.
What You Bring
Currently a UG / PG / PhD student or a recent graduate in engineering, science, mathematics, or related fields from a reputed institution.
Ability to work from the Bangalore office for at least 3 months.
Strong proficiency in Python; familiarity with MATLAB and LaTeX is a plus.
Experience with data handling and applying AI/ML techniques for automation.
Ability to write clean, structured code; familiarity with version control tools (e.g., Git).
Strong analytical and problemāsolving skills.
Clear communication skills and a collaborative approach suited to an R&D environment.