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Technische Universität München

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Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten

18.03.2025, Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten

Our mission
We specialize in creating affordable, retrofittable potato sorting systems. Our core mission? Empowering farmers with state-of-the-art AI. With our solution we want to reduce their workload, save labor costs and allow them to focus more on the product and their personal life. We're initiating our journey with small to medium scale potato farmers as our primary market, setting the stage for further
affordable automation innovations in agriculture.

Description of position
• Optimize our image processing pipeline for real-time execution on embedded edge devices (Linux, ARM64 architecture)
• Develop and integrate control software for sensor and actuator interaction
• Develop testing and monitoring pipelines to ensure system performance
• Collaborate with our AI and software team to improve embedded deployment

Your profile
• Enrolled in a degree program in Electrical Engineering, Mechatronics, Computer Science, or a related field
• Interest in Embedded Systems, Image Processing, or Automation Technology
• Experience with Python, C++ or CUDA (experience with other NVIDIA tools such as DeepStream SDK or Triton inference servers is
a plus)
• Independent and proactive mindset

Kontakt: felix.beck@karevo.de, +49 176 778 747 59

Mehr Information

https://www.karevo.de/#start

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