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Job Description
General Requirements — all tracks
- Enrollment in a Bachelor’s or Master’s degree program in robotics, computer science, machine learning, electrical or mechanical engineering, mathematics, industrial design, or a related field
- Strong motivation to work on robotics research and real-world robotic systems
- Independent, structured, and reliable working style
- Programming experience, e.g. Python, C/C++, PyTorch, or JAX, depending on the selected track
- Familiarity with collaborative development tools, such as Git
- Very good written and spoken English skills
- Onsite availability to support hands-on prototyping, experimentation, and collaboration
Track-specific Requirements
- Track 1: Robotics Integration Engineering
Experience or strong interest in ROS2 development, navigation and autonomy stacks, motion planning, and hardware-close deployment - Track 2: Robot Learning & Simulation
Knowledge of deep learning foundations, PyTorch pipelines, reinforcement learning, and distributed, edge, or cloud robotics - Track 3: Hardware Engineering & Design
Background in mechanical engineering, electrical engineering, or industrial design; experience with CAD, 3D printing, and sensor/actuator integration; UX/UI experience is a plus
Please make sure to include a detailed transcript of records with your application. Unfortunately, applications without a transcript of records cannot be considered. A cover letter is not required.