Job Title

Program: Graduate Engineer Trainee Program 2026 Role: Physical AI Functional Consultant Target Audience: Fresh Engineering Graduates (Class of 2026) or earlier 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. We are looking for passionate engineers who love getting their hands dirty with physical equipment—like motors, pumps, and manufacturing machines—and want to elevate their performance using AI. In this role, you will act as a translator and problem-solver. You will use your deep understanding of mathematics, kinematics, and thermodynamics to help our AI and Data Science teams build accurate digital twins, predictive maintenance models, and intelligent motion control systems for the factory of the future. Key Responsibilities System Analysis: Study and analyze manufacturing equipment, industrial machines, and motor systems to understand their physical behaviors, failure modes, and operational limits. Physics-to-AI Translation: Act as the domain expert. Use your 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 internal stakeholders and clients to understand their manufacturing pain points and propose AI-driven solutions (e.g., optimizing energy consumption in fluid systems, or improving robotic arm kinematics). Motion & Motor Control Optimization: Assist in integrating machine learning algorithms with traditional motor controls and motion control systems to improve precision, speed, and efficiency. Data Validation: Review sensor data (vibration, temperature, pressure) from physical assets to ensure the AI models align with the actual laws of physics and engineering principles. Skill Requirements & Qualifications 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 (The /"Physical/" part) 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 will be given to candidates who have participated in student engineering competitions (e.g., Baja SAE, Formula Student, Robocon, IRC) or have completed internships working directly with manufacturing equipment, CNCs, or heavy machinery. Technology & AI Skills (The /"AI/" part) 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) used for data analysis or simulation. AI Awareness: A 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 in simple terms to software developers, AI engineers, and business leaders. Problem-Solving: A natural troubleshooter who can look at a malfunctioning machine and logically deduce the root cause using first principles. Adaptability: Eagerness to learn new software, AI frameworks, and consulting methodologies in a fast-paced environment.