Robotics Engineer Internship

Are you hyped about digital twins and robotics? At HTEC, we are building the future of intelligent machines with custom chips to enable the future of mobile robots and humanoids. As a Robotics Engineer Intern, you will be at the forefront of this transformation, working together with cutting-edge tools like ROS2, NVIDIA Omniverse to create high-fidelity, scalable simulation environments. These environments will power the development, testing, and deployment of next-generation robotic systems across industries. It is time to put all theory to the test.

You will collaborate with your mentor in a multidisciplinary team of engineers, researchers, and designers to simulate real-world conditions and accelerate the development of robotic intelligence running on custom AI chip. If you are passionate about simulation, robotics, and AI—and want to work on projects that make a real-world impact—this is the role for you.

• →Build the navigation robot in simulation
• →Ask questions if you do not understand the topic!
• →Keep a record of what needs to be done!
• →Keep recording what and how was a task done! - What has been learned!

• Bachelor’s or master's degree in Robotics, Computer Science, Mechanical Engineering, or related fields. OR you are close to ending your studies.
• Basic experience with the ROS2 framework.
• Intermediate proficiency in Python
• Intermediate proficiency in C++.
• Solid understanding of robotic systems, including kinematics, dynamics, and control.
• Understanding basic concepts of how computer vision is used in robotics.

• Robotics competitions
• Engineering competitions
• Petnica or PFE or similar engagements
• GitHub with personal or university projects
• Research projects or research paper
• Any project that you built on your own, especially with the use of the hardware no matter how small and simple it is!

• Experience with ROS2 navigation stack [RTAB-MAP, NAV2, ROS Control, behavior tree]
• Experience with ROS2 MoveIT stack
• Experience in creating digital twins and simulation. Simulation experience can come from IsaacSim, Gazebo, MuJoCo, CoppeliaSim or Unity.
• Experience in creating simulated sensors in digital twins. Sensors include GNSS/GPS, cameras, IMU, wheel odometry and others
• Familiarity with simulation-based testing and validation of robotic algorithms and bridging the gap between simulation and the real world.
• Experience with ROS2 navigation stack [RTAB-MAP, NAV2, ROS Control, behavior tree]
• Experience with OpenUSD (Universal Scene Description) and Omniverse extension development.
• Hands on experience with non-mobile robots such as industrial robots [Universal Robots / KUKA / Denso / others...] or humanoid robots.
• Background in reinforcement learning or machine learning for computer vision robotics. Tasks such as visual odometry, feature extraction, loop closures, and segmentation. Example libraries Pytorch / TensorFlow / Keras etc.
• Experience with CI/CD pipelines and simulation automation. Setting up the HIL robotics testing.
• Familiarity with cloud platforms (e.g., AWS, Azure) for distributed simulation.