About the job

Technical Manager / Tech Lead - STEM Division (DIY Robotics & AI Projects)

Location : Chennai

Experience : 7 to 10 years

Salary : 21 to 30 LPA

Employment Type : Full-Time

Role Overview :

We- re looking for a hands-on, visionary Technical Manager / Tech Lead to head our STEM Division. You will lead the design and development of our DIY robotics kits, manage technical collaborations with academia and industry, and guide a team of engineers, content creators, and trainers. Your leadership will shape the future of how robotics and AI are taught and applied across India and beyond.

Key Responsibilities :

- Lead the development of DIY STEM kits, including advanced projects like a 22+ DOF humanoid robot

- Design and review technical curriculum and project-based learning content for engineering students

- Oversee hardware-software integration (Raspberry Pi, ROS 2, Jetson Nano, microcontrollers, sensors, actuators)

- Collaborate with academic experts, university faculty, and hiring companies to ensure industry-relevance

- Guide a team of engineers, instructional designers, and trainers for product development and course delivery

- Ensure technical quality and feasibility of kits across 100+ college deployments

- Represent iSpark in conferences, industry events, and tech consortiums

Key Skills & Qualifications

- Bachelor's / Master's in Robotics, Electronics, Mechatronics, or a related field.

- 5- 8 years of experience in Robotics, Embedded Systems, AI/ML, or Product Engineering

- Strong hands-on experience with robotics platforms, servo-based motion control, ROS/ROS 2

- Excellent understanding of 3D printing, mechanical design principles, and modular kit development

- 2+ years of Proven track record of leading multi-disciplinary technical teams

- Familiarity with educational product development, learning outcomes, and academic-industry alignment

- Passion for building scalable, affordable STEM learning tools for India and the world

Preferred (Not Mandatory) :

- Experience working with AI teaching agents or conversational bots

- Exposure to national skill frameworks like NSQF or industry certification boards

- Prior contributions to open-source robotics projects or educational platforms