Edge AI & Computer Vision Intern

<p>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.</p><p>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.</p><p><u><strong>Tasks</strong></u><strong>:</strong> </p><p>• 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).</p><p>• 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.</p><p>• Telemetry &amp; Visual Overlays: Ingest robotic telemetry alongside the video feed to render dynamic graphical annotations and spatial guidance cues directly onto the live stream.</p><p>• Computer Vision &amp; 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.</p><p>• System Profiling &amp; Documentation: Measure end-to-end processing delays, evaluate hardware resource utilization, and document the architecture to guide future product development.</p><p><strong>Requirements</strong></p><p><u><strong>Required abilities</strong></u><strong>:</strong></p><p><strong>• 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</strong>.</p><p>• Practical programming experience in Python or C++.</p><p>• Working knowledge of Linux environments, shell scripting, and version control (Git).</p><p>• Foundational understanding of computer vision or machine learning using standard libraries (such as OpenCV, PyTorch, or ONNX Runtime).</p><p>• An exploratory, hands-on mindset with an interest in hardware bring-up, lab prototyping, and embedded development.</p><p>• Open-minded, self-driven &amp; creative problem solving</p><p>• Fluency in English is a must</p><p><u><strong>Beneficial Experience</strong></u>:</p><p>• Familiarity with real-time streaming SDKs (e.g., NVIDIA Holoscan, DeepStream, or GStreamer) or GPU acceleration tools (CUDA, TensorRT).</p><p>• Basic understanding of sensor fusion or 2D/3D coordinate transformations.</p><p><strong>Benefits</strong></p><p><u><strong>What we offer</strong></u><strong>:</strong></p><ul><li>A dynamic, innovative environment with cutting-edge medical technology that is shaping the future of robotic surgery. </li><li>Fast-growing Company where innovation meets agility.</li><li>Structured onboarding program and training, ensuring a confident start. </li><li>High degree of autonomy and flexibility.</li></ul><p>Find more <a href="https://www.arbeitnow.ch/english-speaking-jobs">English Speaking Jobs in Switzerland</a> on Arbeitnow</a>