Robotics Intern

11 hours ago


Pune, Maharashtra, India b46f2607-549e-4f69-8ec5-74f69dacd686 Full time ₹ 2,00,000 - ₹ 8,00,000 per year

Job Title: Robotics Intern

Company: Muks Robotics AI Pvt. Ltd.

Website:

Location: Baner, Pune

Duration: 6 Months

Experience: 0-1 Year

About the Role :

Muks Robotics AI Pvt. Ltd. is seeking a motivated Robotics Intern with interest and hands-on exposure in both robotic hardware systems and ROS-based software development. This role provides a balanced experience across embedded electronics, sensor integration, ROS1/ROS2 software, SLAM, navigation, and autonomous robotic systems. You will work directly on real robots - building, wiring, testing, and deploying full robotic pipelines - from perception and control to navigation and system integration.

Key Responsibilities:

  1. ROS Development (Software & System Integration)

  2. Develop, test, and deploy robotic applications using ROS1 and ROS2.

  3. Work with ROS navigation and mapping frameworks:

◦ SLAM (Cartographer, RTAB-Map, Hector SLAM)

◦ Navigation stacks (ROS Nav2 / AMCL / Move Base)

  • Create and manage ROS packages, nodes, launch files, and URDF/Xacro robot descriptions.

  • Utilize tools such as rviz, rqt, rosbag, TF2, and Gazebo for debugging and simulation.

  • Embedded Systems & Electronics (Hands-On Hardware Work)

  • Develop firmware for Arduino, STM32, Raspberry Pi, and similar microcontrollers.

  • Interface and calibrate hardware modules and sensors.

  • Work with motor drivers and actuators including DC motors, BLDC motors, stepper motors, and servo motors

  • Implement and troubleshoot communication protocols UART, I2C, SPI, RS485, CAN (bonus)

  • Perform wiring, assembly, soldering, circuit testing, and debugging on physical robot platforms.

  • Sensor Integration & Perception

  • Integrate and configure sensors such as 2D/3D Lidar, IMU, wheel encoders, ultrasonic sensors, depth cameras

  • Work on sensor fusion concepts (IMU + encoder).

  • Contribute to perception pipelines for Obstacle detection, Environment mapping and Localization.

  • SLAM, Navigation & Autonomy

  • Assist in implementing mapping, path planning, and localization algorithms.

  • Tune navigation parameters for smooth autonomous movement.

  • Perform real-world tests to validate mapping, obstacle avoidance, and robot behavior.

  • Analyze logs, debug issues, and optimize the robot's autonomous performance.

  • Testing, Debugging & Deployment

  • Conduct hardware and software tests on robot prototypes.

  • Diagnose performance issues in sensors, control systems, or ROS nodes.

  • Help integrate end-to-end robotic systems in field tests and client demos.

Required Skills & Qualifications

  • Bachelor's degree in Robotics & Automation or related field.

  • Basic understanding of ROS1/ROS2 (projects, coursework, or hands-on experience).

  • Familiarity with Python, C, and C++ for embedded and robotics programming.

  • Knowledge of microcontrollers such as Arduino, STM32, Raspberry Pi.

  • Understanding of motor control, drivers, and robotics controllers.

  • Basics of SLAM, navigation, and localization.

  • Exposure to sensors like Lidar, encoders, IMU, and depth cameras.

  • Working knowledge of electronics fundamentals (wiring, voltage levels, circuits).

Good to Have (Preferred)

  • Experience with the ROS2 Navigation2 stack.

  • Simulation tools: Gazebo, RViz, Webots, Isaac Sim.

  • Understanding of TF frames, kinematics, and URDF modeling.

  • Basic AI/ML concepts for robotics (optional).

Soft Skills

  • Strong analytical and problem-solving mindset.

  • Hands-on approach and willingness to work on hardware.

  • Ability to collaborate with cross-functional teams.

  • Eagerness to learn and explore advanced robotics concepts.

What We Offer

  • Opportunity to work on live robotics systems and real-world deployments.

  • Mentorship from experienced robotics, embedded, and ROS engineers.

  • Exposure to full-stack robotics development - electronics, software, perception, autonomy.

  • A collaborative, innovative, and growth-driven environment.

  • Potential full-time opportunity based on performance.

Job Type: Internship

Contract length: 6 months

Work Location: In person


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