Senior Robotics Trainer

Location: Bengaluru

About Newton School of Technology (NST)
Newton School of Technology (NST) is a contemporary institution dedicated to redefining technical education in India. Founded by alumni of the Indian Institutes of Technology (IITs), NST offers a four-year

B.Tech program in Computer Science and Artificial Intelligence, emphasizing experiential learning, interdisciplinary learning, and strong industry engagement.
Within two years of its establishment, over 93% of NST students have secured paid internships with leading organizations such as Razorpay, SarvamAI, and DRDO, along with exposure to global technology ecosystems through academic immersions in Singapore and Silicon Valley.
NST is led by a distinguished faculty comprising ICPC World Finalists and experienced professionals from organizations including ISRO, Microsoft, Make My Trip , and other prominent technology firms. The institution is committed to developing a scalable,
high-impact academic model that equips graduates with the skills required for advanced roles in technology and engineering.

About the Role – Robotics Instructor
Newton School of Technology invites applications for the position of Robotics Engineer + Instructor within the interdisciplinary engineering and science department. This role is ideal for professionals or academicians with strong expertise in Robotics, Control Systems, Mechatronics, and Applied Physics, who are passionate about hands-on experimentation, problem-based learning, and mentoring students in engineering fundamentals.
The selected candidate will be responsible for designing and delivering theory and laboratory courses, guiding student projects, and integrating real-world engineering applications into the curriculum. The role requires collaboration with faculty across Computer Science, AI, and Engineering domains to promote interdisciplinary learning.

Key Responsibilities
Teaching and Academic Delivery
Design and deliver project-based courses in Robotics and Applied Physics, including:
Mechanics, Kinematics, and Dynamics
Electronics and Sensors
Control Systems and Feedback Mechanisms
Microcontrollers and Embedded Systems (Arduino, Raspberry Pi, ESP
32, etc.)
Robotics Programming (Python / C++)
Computer Vision for Robotics
Motion Planning and Navigation
Lab-based experimentation in physics and robotics
Curriculum Development
Contribute to the design and continuous improvement of Robotics and Applied
Physics curriculum
Integrate real-world engineering problems, industry case studies, and hands-on lab
work
Student Mentorship
Guide students in robotics projects such as autonomous robots, drones, robotic arms, and IoT-based systems
Provide technical feedback on design, implementation, and testing
Career Guidance
Mentor students on careers in Robotics, Mechatronics, Automation, and Embedded Systems
Support students in preparing for internships and technical roles
Industry Alignment
Stay updated with advancements in robotics, automation, AI-integrated robotics, and smart systems
Bring contemporary tools and practices into classroom teaching
Collaboration
Work closely with AI/ML faculty to integrate robotics with computer vision and machine learning
Collaborate with engineering and lab teams for practical learning modules
Assessment and Evaluation
Design practical lab assignments, mini-projects, and capstone evaluations

Qualifications and Experience
Bachelor's or Master's degree in Physics, Robotics, Mechanical Engineering, Mechatronics, Electrical Engineering, or related field (Ph.D. is desirable but not mandatory)
Minimum 5–7 years of hands-on industry or academic experience in Robotics, Automation, or Applied Physics
Demonstrated experience in building robotic systems, experimental physics setups, or real-world engineering applications
Strong conceptual understanding of mechanics, electronics, and control systems
Demonstrated commitment to teaching, mentorship, and hands-on learning

Required Skills
Technical Competencies
Strong foundation in Physics and Engineering principles
Hands-on experience with:
Microcontrollers (Arduino, Raspberry Pi, ESP
32)
Sensors and actuators
Robotics frameworks (ROS preferred)
Python and/or C++ programming
CAD tools (Solid Works / Fusion 360 – preferred)
Basic AI/CV integration in robotics (good to have)

Professional Skills
Excellent communication and presentation abilities
Ability to explain complex technical concepts clearly
Strong collaboration and teamwork
Passion for teaching, experimentation, and innovation

Preferred Qualifications (Good-to-Have)
Prior  teaching experience  at the undergraduate level
Experience in robotics competitions, research labs, or industrial automation
Familiarity with modern pedagogical and experiential learning methodologies