AI & Robotics Internship

We are looking for a passionate Robotics & ROS2 Intern to work on real-world autonomous robots, AMRs, robotic manipulation, perception, navigation, simulation and AI/ML systems.
The candidate will work with experienced robotics engineers and gain hands-on exposure to the complete robotics stack — from sensors and embedded systems to ROS2, perception, SLAM, navigation, planning, control and actuation.
You will be given a certificate of internship for the projects you will do.
Key Responsibilities
Develop and integrate robotics applications using ROS2, Python and C++.
Work with ROS2 architecture including nodes, topics, services, actions, parameters, TF2, launch and lifecycle.
Develop and maintain ROS2 packages and robotics software modules.
Work on SLAM, localization, mapping, path planning, navigation and obstacle avoidance.
Configure and integrate Nav2 for autonomous mobile robots.
Integrate LiDAR, depth cameras, stereo cameras, IMUs and other sensors.
Work on computer vision, 3D point-cloud processing and sensor fusion.
Assist with robot kinematics, dynamics, motion planning and control algorithms.
Work with mobile robots, AMRs, robotic arms and collaborative robots (cobots).
Assist with trajectory planning and end-effector integration.
Develop and test robotic systems using Gazebo, NVIDIA Isaac Sim, Omniverse, Webots or MuJoCo.
Explore AI/ML applications including machine learning, deep learning, computer vision and reinforcement learning.
Support deployment of AI models on embedded and edge-computing platforms.
Work with platforms such as Raspberry Pi, NVIDIA Jetson and STM32.
Participate in robot testing, debugging, system integration, POCs and technical demonstrations.
Follow software engineering practices including Git, modular design, testing, documentation and CI/CD.
Collaborate with mechanical, electrical, electronics, embedded and software engineering teams.
Must-Have SkillsRobotics & ROS2
ROS / ROS2
ROS2 architecture and middleware
Robotics software architecture
ROS2 nodes, topics, services and actions
TF2 and coordinate frames
Programming
Python
Basic/intermediate C++
Linux / Ubuntu
Git
Robotics Fundamentals
Robot kinematics
Robot dynamics
Motion planning
Robot control algorithms
Navigation & Autonomy
SLAM
Localization
Mapping
Path planning
Navigation
Obstacle avoidance
Autonomous Mobile Robots (AMRs)
Nav2 exposure preferred
Perception & Sensors
Computer Vision
3D Point Cloud Processing
Sensor Fusion
LiDAR
Depth Cameras
Stereo Vision
IMU
Manipulation
Trajectory planning
End-effector control
Robotic arms
Cobot integration
MoveIt/MoveIt2 exposure preferred
Simulation & Digital Twins
Experience with one or more:
NVIDIA Isaac Sim
NVIDIA Omniverse
Gazebo
Webots
MuJoCo
AI & Machine Learning
Machine Learning
Deep Learning
Computer Vision
Reinforcement Learning — exposure preferred
AI model deployment on embedded/edge systems
Embedded & Edge Computing
Embedded systems
Raspberry Pi / NVIDIA Jetson / STM32
Embedded Linux
Sensor and actuator interfaces
Edge AI deployment
Preferred Skills
ROS2 package development
Nav2
SLAM Toolbox
AMCL / localization
OpenCV
PCL
MoveIt / MoveIt2
Isaac Sim / Isaac Lab
Gazebo
Docker
CI/CD
CAN, UART, I2C, SPI or RS485
Embedded Linux
Robotics simulation
AI/ML deployment
Leadership & Professional Exposure
The intern will also receive exposure to:
Technical reviews
Robotics system architecture
Solution design
POC and pilot development
Client workshops and demonstrations
Cross-functional collaboration
Technical documentation
Product and system integration
Qualifications
B.Tech/B.E./M.Tech/M.E./M.S. in Robotics, Mechanical, Mechatronics, Electronics, Electrical, Computer Science, AI or related fields.
Strong interest in robotics and autonomous systems.
Good Python and/or C++ programming skills.
Familiarity with Linux/Ubuntu.
Understanding of basic robotics concepts.
Strong problem-solving and debugging skills.
Ideal Candidate
Candidates who have built ROS2 robots, AMRs, SLAM systems, autonomous vehicles, robotic arms, LiDAR-based robots, computer-vision systems, Isaac Sim/Gazebo simulations or AI-powered robotics projects are encouraged to apply.
GitHub repositories, project videos, simulations and working prototypes are highly valued.
Key Technologies
ROS2 | Python | C++ | Linux | Robotics | Nav2 | SLAM | AMR | Autonomous Navigation | Computer Vision | LiDAR | Point Clouds | Sensor Fusion | IMU | Motion Planning | Robot Control | MoveIt | Isaac Sim | NVIDIA Omniverse | Gazebo | AI/ML | Embedded Systems | Raspberry Pi | NVIDIA Jetson | Edge AI | Git | CI/CD

Work arrangement
Yes