Graduate Engineer Trainee (GET)

About the Role

As a Physical AI Functional Consultant (GET), you will bridge the gap between heavy industrial machinery, classical engineering physics, and cutting-edge Artificial Intelligence. You will act as a translator and problem-solver, using your understanding of mathematics, kinematics, and thermodynamics to help AI and Data Science teams build accurate digital twins, predictive maintenance models, and intelligent motion control systems.

Key Responsibilities

• System Analysis: Study and analyze manufacturing equipment, industrial machines, and motor systems.
• Physics-to-AI Translation: Act as the domain expert, using knowledge of fluid mechanics, thermodynamics, and kinematics to help data scientists translate real-world machine behaviors into accurate mathematical and AI models.
• Functional Consulting: Work with stakeholders and clients to understand manufacturing pain points and propose AI-driven solutions.
• Motion & Motor Control Optimization: Assist in integrating machine learning algorithms with traditional motor controls and motion control systems.
• Data Validation: Review sensor data from physical assets to ensure AI models align with physics and engineering principles.

Requirements & Tech Stack

Educational Background

• Graduating in 2026 with a B.E. / B.Tech / M.E. / M.Tech in Mechanical Engineering, Mechatronics, Electrical Engineering, Robotics, Industrial Engineering, or a closely related discipline.

Core Engineering Skills

• Foundational Sciences: Strong grasp of applied mathematics, engineering physics, fluid mechanics, and thermodynamics.
• Kinematics & Dynamics: Solid understanding of moving parts, robotic kinematics, and mechanical load calculations.
• Control Systems: Academic or practical knowledge of motor controls, motion control, and feedback loops (PID, VFDs, servo systems).
• Hands-On Experience: Demonstrated interest in how things work. Preference for candidates who have participated in student engineering competitions or completed internships working directly with manufacturing equipment, CNCs, or heavy machinery.

Technology & AI Skills

• Analytical Mindset: High proficiency in applying mathematics to solve real-world engineering problems.
• Programming Basics: Familiarity with mathematical modeling and scripting tools (e.g., MATLAB, Simulink, Python, or R) for data analysis or simulation.
• AI Awareness: Strong curiosity and basic theoretical understanding of Machine Learning, IoT, smart sensors, and Digital Twins. (Advanced coding skills are a plus, but functional understanding is the priority.)

Consulting & Soft Skills

• Communication: Ability to explain complex physical and mathematical concepts clearly.
• Problem-Solving: Natural troubleshooter using first principles.
• Adaptability: Eagerness to learn new software, AI frameworks, and consulting methodologies.