Physical AI & Robotic Systems Integration Intern/Working Student
InternshipUpdated on 10/23/2026
No salary listed
Master's
Munich, Germany
In PersonOnsite interview visit to the Munich office.
AI & Machine LearningRobotics & Autonomous Systems
About the job
Requirements
Currently pursuing a Master's degree in Computer Science, Robotics, Software Engineering, Mechatronics, or a related discipline.
Have direct, hands-on experience setting up, controlling, and debugging physical robotic manipulation hardware, such as robot arms, pick-and-place setups, or dexterous multi-fingered hands.
Have strong Python proficiency, including rclpy, NumPy, and pytest, and proven experience collaborating in shared codebases via Git, managing Merge Requests or Pull Requests, and participating in code reviews.
Have experience with ROS2 core architectures, Docker containerization, and modern Python virtual environment management using uv.
Have a solid grasp of kinematics, rotation matrices, transformation trees (TF2), and position or impedance control concepts.
Responsibilities
Contribute to shared production codebases using modern Git workflows, create structured Merge Requests, participate in peer code reviews, and uphold software engineering standards.
Design, build, and maintain stable ROS2 interfaces for physical hardware, specifically robot arms, dexterous hands, grippers, and sensors, for pick-and-place and complex manipulation tasks.
Implement robust error handling, edge-case recovery, and auto-restart mechanisms to handle hardware lag, connection drops, and sensor noise.
Package and optimize ROS2 nodes running neural networks in inference mode, translating model outputs into physical hardware commands.
Write integration tests using pytest and data validation scripts to support data collection and live deployments.
Desired Qualifications
Proficiency in C++.
Direct experience deploying reinforcement learning or Vision-Language-Action policies on physical robotic arms or hands.
Previous software engineering experience at a fast-paced startup or industrial robotics company.
Working Student/ Intern - Physical AI & Robotic Systems Integration (F/M/D)
We are looking for a Physical AI & Robotic Systems Integration (Intern/Working Student) who thrives at the intersection of production software engineering, advanced AI, and physical hardware. If you find it incredibly satisfying to write clean, maintainable Python code that translates directly into precise, real-world robot movement, this role is for you. You will play a vital part in our data collection pipelines and model inference strategy, tackling the unique challenges of making software resilient against physical hardware unpredictability. You won't be watching from the sidelines or working purely in simulation—your code will directly drive physical robots in production.
Responsibilities
Collaborate in Production Codebases: Contribute to a shared repository using modern Git workflows, creating structured Merge Requests, participating in peer code reviews, and upholding software engineering standards.
Integrate & Debug Physical Manipulation Hardware: Design, build, and maintain stable ROS2 interfaces for physical hardware—specifically robot arms, dexterous hands, grippers, and sensors—for pick-and-place and complex manipulation tasks.
Engineer for Real-World Resilience: Implement robust error-handling, edge-case recovery, and smart auto-restart mechanisms to handle hardware lag, connection drops, and sensor noise.
Deploy AI to the Edge: Package and optimize ROS2 nodes that run advanced neural networks in inference mode, turning model outputs into physical hardware commands.
Guarantee Stack Stability: Write rigorous integration tests (pytest) and data validation scripts to keep our pipeline rock-solid during both large-scale data collection and live deployments.
Requirements
Must-Have
Education: Currently pursuing a Master’s degree in Computer Science, Robotics, Software Engineering, Mechatronics, or a related discipline.
Codebase Collaboration & Python Engineering: Strong Python proficiency (rclpy, numpy, pytest) with proven experience collaborating in shared codebases via Git (managing Merge Requests/Pull Requests and participating in code reviews).
ROS2 & Infrastructure: Experience with ROS2 core architectures, Docker containerization, and modern Python virtual environment management (uv).
Robotics Fundamentals: Solid grasp of kinematics, rotation matrices, transformation trees (TF2), and position/impedance control concepts.
Nice-to-Have
Proficiency in C++.
Direct experience deploying RL or Vision-Language-Action (VLA) policies on physical robotic arms or hands.
Previous software engineering experience at a fast-paced startup or industrial robotics company.
Benefits
Work with a world-class team in a flat hierarchy, with direct collaboration alongside the founders and engineering team
Opportunity to make a real impact by working on cutting-edge robotics and AI systems
Fast growth potential in a rapidly evolving company and industry
International office environment with English as the official working language
Recruiting Process
Your recruiting partner for this role is Madhulika (she/her). You can expect a screening interview and upto 2 rounds of interviews including an onsite visit to our office in Munich.
We hire across backgrounds, identities, and experiences, and we are committed to a workplace where everyone belongs. Discrimination has no place here.
If you need any accommodations during the recruiting process, just reach out to your recruiting partner.