Siemens Gamesa Renewable Energy is hiring AI Intern – Rotor Performance for its Bangalore office. This is an excellent opportunity for engineering and technology students who want hands-on exposure to aerodynamic performance analysis, AI-driven automation, and renewable energy research.
As part of the Wind Power Technology team, interns will work on next-generation aerodynamic frameworks for wind turbines, supporting automation, validation workflows, and scalable engineering tools. This role is ideal for candidates passionate about AI, clean energy, and R&D innovation.
| Category | Details |
|---|---|
| Company | Siemens Gamesa Renewable Power Private Limited |
| Job Role | AI Intern – Rotor Performance |
| Experience | Students / Early Professionals |
| Location | Bangalore, Karnataka |
| Work Model | Work From Office |
| Employment Type | Full-Time Internship |
| Industry | Renewable Energy / Wind Power |
| Department | Technology – Rotor Performance (ROP) |
| Role Category | AI / Engineering Research Internship |
| Requirement | Details |
|---|---|
| Education | UG / PG / PhD in Engineering, Science, Mathematics or Related Fields |
| Eligible Batches | Final Year Students & Recent Graduates |
| Mandatory Skills | Python Programming |
| Preferred Skills | MATLAB, LaTeX, AI/ML, Git |
As an AI Intern, you will contribute to improving aerodynamic performance analysis systems for wind turbines. The internship involves building automation utilities using AI techniques, enhancing engineering workflows, and supporting structured documentation for technical frameworks.
You will collaborate with R&D teams to strengthen scalable tools that support rotor performance analysis and validation processes.
Siemens Gamesa promotes diversity, inclusion, and innovation while driving the global energy transition.
UG, PG, or PhD students and recent graduates in engineering, science, mathematics, or related fields can apply.
No, candidates must work from the Bangalore office for a minimum of 3 months.
Strong proficiency in Python is mandatory. Knowledge of MATLAB and AI/ML is preferred.
Interns will support AI-driven automation, aerodynamic analysis tools, validation workflows, and technical documentation.
Yes, it is designed for students and early professionals interested in AI and renewable energy R&D.
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