Edge AI & Computer Vision Intern
Distalmotion
Edge AI & Computer Vision Intern
Distalmotion
Minimally invasive robotic surgery platform
Distalmotion SA · Épalinges, Switzerland · Temporary · Posted 2026-11-04
Workplace: on_site
Department: Research & Development
We are investigating real-time edge computing architectures to enhance visual feedback in next-generation medical robotics. Our systems combine high-bandwidth video streams with real-time robotic telemetry to support precision tasks.
In this internship, you will lead the hands-on prototyping of an edge AI processing unit using a state-of-the-art Edge AI development platform. You will be responsible for bringing up the hardware from scratch, establishing a low-latency video pass-through pipeline, and evaluating how computer vision and machine learning models can extract insights and render helpful visual cues in real time.
Tasks:
• Hardware Bring-Up: Set up, configure, and benchmark a new edge AI development platform (operating system, drivers, hardware acceleration libraries, and high-speed video capture interfaces).
• Low-Latency Video Pipeline: Explore and prototype low-latency video streaming architectures using real-time processing frameworks to capture high-resolution camera feeds and drive responsive external displays.
• Telemetry & Visual Overlays: Ingest robotic telemetry alongside the video feed to render dynamic graphical annotations and spatial guidance cues directly onto the live stream.
• Computer Vision & AI Prototyping: Benchmark lightweight computer vision algorithms and modern neural network architectures (e.g., for object tracking, state awareness, or semantic scene understanding) on edge hardware.
• System Profiling & Documentation: Measure end-to-end processing delays, evaluate hardware resource utilization, and document the architecture to guide future product development.
Required abilities:
• Enrolled in a Master’s degree or final year of a Bachelor’s program in Computer Science, Robotics, Embedded Systems, Electrical Engineering, or a related discipline.
• Practical programming experience in Python or C++.
• Working knowledge of Linux environments, shell scripting, and version control (Git).
• Foundational understanding of computer vision or machine learning using standard libraries (such as OpenCV, PyTorch, or ONNX Runtime).
• An exploratory, hands-on mindset with an interest in hardware bring-up, lab prototyping, and embedded development.
• Open-minded, self-driven & creative problem solving
• Fluency in English is a must
Beneficial Experience:
• Familiarity with real-time streaming SDKs (e.g., NVIDIA Holoscan, DeepStream, or GStreamer) or GPU acceleration tools (CUDA, TensorRT).
• Basic understanding of sensor fusion or 2D/3D coordinate transformations.
What we offer:
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Minimally invasive robotic surgery platform
Distalmotion provides a surgical robotics system called Dexter used in minimally invasive surgery. It sells the robotic platform to hospitals and surgical centers, aiming to integrate into existing laparoscopic workflows so surgeons can switch between robotic and traditional laparoscopy from an ergonomic console. Dexter is designed as an open-platform, mobile system that supports on-demand robotic assistance without needing a dedicated operating room, enabling seamless collaboration between robotic precision and conventional techniques. This approach differentiates Distalmotion from competitors by prioritizing ease of integration, mobility, and flexibility over building a closed, room-locked robot. The company's goal is to make robotic surgery more accessible, addressing barriers like complexity, cost, and workflow disruption to improve outcomes in general surgery, gynecology, and urology.
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