Software Engineering Internship - AI Platform

The Opportunity

We are looking for a 6-months intern to join our development A-team as of September 2026.

We are building the internal platform that brings computer vision models from research and prototyping into production and edge deployment on autonomous robots.

As an intern, you will work directly with the platform lead (system architect) on designing and implementing core infrastructure components. The system is defined through clear API contracts and architectural boundaries, enabling you to contribute meaningful production-grade components from day one. You will evaluate trade-offs in scalable, vendor-neutral ML platforms, turn loosely defined research workflows into robust pipelines, and work effectively within clearly defined architectural boundaries.

This role combines hands-on engineering with exposure to real-world system design and architecture decisions.

The Market & Our Technology

ANYbotics transforms industrial plants in the energy, process, and utility sector by introducing robotics to a wide range of novel applications that so far were beyond reach. Our customers are large asset operators and industrial service providers pioneering the use of robotics technology for inspection and maintenance. Our mobile robot ANYmal uses legs for extreme mobility in complex environments, camera- and LIDAR-based sensing for full autonomy and obstacle avoidance, and AI for high-quality and consistent inspection results. We develop numerous customized hardware systems, including the entire robotic platform, actuators, sensors, inspection payloads, charging systems, and all related ANYbotics electrical hardware.

Your Contributions

• Implement well-scoped platform components based on predefined API contracts
• Contribute to services for:
• dataset and artifact management (images, LiDAR, rosbags)
• model storage and execution (e.g. ONNX / TensorRT)
• evaluation and inference pipelines
• Write clean, maintainable, and testable code (primarily Python / C++ backend services)
• Participate in architecture discussions, design reviews, and technical workshops
• Help validate system behavior against defined interfaces and requirements

Your Profile

• Currently pursuing a degree in Computer Science, Robotics, or a related field
• Strong programming skills (Python preferred; backend experience is a plus)
• Solid understanding of software engineering fundamentals (APIs, data structures, testing)
• Interest in machine learning systems or computer vision (prior experience is a plus, not required)
• Comfortable working in a structured environment with clearly defined interfaces
• Curious and motivated to understand why systems are designed the way they are

Bonus Points

• Experience with Docker, REST APIs, or distributed systems
• Familiarity with ML tooling (PyTorch, ONNX, TensorRT, etc.)
• Exposure to data pipelines or backend infrastructure