What you will do

- Teach AI basics: neural networks, supervised and unsupervised learning, training and inference, and

an introduction to reinforcement learning
- Teach Python from the basics up to building a neural network
- Teach robot sensors: accelerometers, gyroscopes, magnetometers and pressure sensors, including

specifications and limitations
- Teach image processing and computer vision with Python and OpenCV, and deep learning with CNNs
- Teach audio for robots: microphones, microphone arrays, digital signal processing and AI on audio
- Teach advanced sensing: RADAR, depth cameras, time of flight, LIDAR and point clouds
- Teach Edge AI and IoT, and compare CPU, GPU, TPU and NPU for real-time, low-power AI
- Teach ground vehicles and rovers: path finding, localisation and pedestrian identification
- Cover the sensors and hardware of quadruped, humanoid and soft robots
- Run hands-on labs on sensors, cameras, edge devices and robots, and help students fix hardware,

circuit and code problems
- Prepare lesson plans, lab exercises and assessments
- Keep robot kits and lab equipment in working order
- Guide each student's minor project and major project, and review them

Must have

- 2+ years teaching robotics at a college, training institute, school lab or edtech company
- B.E., B.Tech or M.Tech in ECE, EEE, CSE, Mechatronics, Robotics or a related field
- Hands-on with Arduino,



ESP32 and Raspberry Pi, including sensors, motors and motor drivers
- Knows GPIO, PWM, ADC, I2C, SPI and UART
- Has built and fixed working robots, such as a rover or mobile robot
- Robust in Python, with working C or C++ for boards, and can write and fix code live in class
- Can solder and debug circuits with a multimeter
- Hands-on IoT: sending sensor data over Wi-Fi or MQTT
- Working knowledge of OpenCV and TensorFlow or PyTorch, including training a simple CNN
- Can read a sensor datasheet and work with sensor signals
- Understands LIDAR, depth cameras, RADAR, Edge AI and NPUs well enough to teach the concepts
- Can teach complete beginners with no coding or electronics background
- Can explain hard ideas in plain English, and in Telugu or Hindi when a student is stuck

Good to have

- ROS or ROS 2
- Robot simulation with Gazebo or Webots
- Has run an AI model on a small device such as a Raspberry Pi or NVIDIA Jetson
- Hands-on work with LIDAR, depth cameras, RADAR or point clouds
- Audio or digital signal processing work, including microphone arrays
- 3D printing and CAD
- Drones, or quadruped, humanoid or soft robots
- Industry work at a robotics, drone, automation or embedded company
- Has mentored student teams for competitions such as WRO, FLL, VEX or Robocon

📌 Robotics Trainer (Hyderabad)
🏢 Quantum Academics
📍 Hyderabad