What You'll Do

The successful candidate will be responsible for supporting the overall project development in Growth areas of Digital Design Domain/1D Modelling/ RFQ. The Candidiate will be responsibile for generating tangible outcomes on the assigned projects and also in the form of literature studies and use cases in the exploratory areas involving Advanced AI/ML techniques.

Must have basic understanding of Physics and concepts in Mechanical engineering (Structural, thermal and flow);
Must have basic knowledge in AI/ML technology and tools
Strong experience with one or more CAD tools: SolidWorks / CATIA / NX / Creo / AutoCAD / Fusion 360 (any major platform)
Proficiency in Python (mandatory)
Experience in building AI-based solutions for CAD: Automated feature recognition, Parametric model generation, Drawing automation, 2D to 3D / 3D to 2D automation, Defect detection in CAD models, Design optimization etc.
Experience using AI libraries/frameworks: TensorFlow / PyTorch / scikit‑learn / OpenAI or similar
Apply LLMs for: Conversational CAD
Basic knowledge of analysis softwares like ANSYS, MATLAB/Simulink and languages such as Python/Matlab/VBA/C# (CAD APIs/plugins)
Track and evaluate latest AI trends in CAD/CAE (Generative AI, Digital Twins, Design Optimization)
Familiarity with advanced ML modelling methods is preferred
Participates in internal open innovation events with businesses & other research groups
Gets trained on internal systems & processes and implements them towards projects
Explore advances in digital design technologies and evaluate their suitability for Eaton products.
Works collaboratively with digital design team globally to advance the technology

Qualifications

M.Tech(Mechanical)-2025

Skills

The engineer

Must have basic understanding of Physics (Structural, thermal and flow); solid concepts in Mechanical engineering
Must have basic knowledge in AI/ML technology and tools
Strong experience with one or more CAD tools: SolidWorks / CATIA / NX / Creo / AutoCAD / Fusion 360 (any major platform)
Proficiency in Python (mandatory)
Experience in building AI-based solutions for CAD: Automated feature recognition, Parametric model generation, Drawing automation, 2D to 3D / 3D to 2D automation, Defect detection in CAD models, Design optimization etc.
Experience using AI libraries/frameworks: TensorFlow / PyTorch / scikit‑learn / OpenAI or similar
Apply LLMs for: Conversational CAD

1. Ability to work in and with diverse & multi-cultural and geographically dispersed teams

Ability to collaborate across multi-disciplinary teams (Development Teams, product management, project management)
Ability to present to various levels of engineering and business leadership globally.

Engineer Digital Design