Jobbeschreibung
Step out of your comfort zone, excel and redefine the limits of what is possible. That's just what our employees are doing every single day – in order to set the pace through our innovations and enable outstanding achievements. After all, behind every successful company are many great fascinating people.In a spacious modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit reign supreme. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.
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Are you interested in shaping the future of smart digital consumer products? We are looking for a passionate and talented Image Pipeline Engineer to contribute to the development of our next generation of digital consumer products.
As part of our dynamic team of engineers and scientists, your role will involve optimizing the parameters for our image pipeline and delving into detailed engineering tasks. We need someone who can find innovative solutions to hardware constrained challenges. While experience with FPGA/GPU/NPUs for embedded devices is not a requirement, it is definitely a plus.
In the long term, we expect you to be able to develop efficient algorithms that can be run on embedded hardware and be able to train your own models such as CNN's, diffusion models for denoising, super resolution style transfer and beyond. You should be well versed in Python and version control, basic C/C++ and be able to develop classical algorithms as well as using modern machine learning techniques.
Key Responsibilities:
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Optimize parameters for our image pipeline
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Develop innovative solutions for hardware-constrained challenges
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Train your own models for various applications like super resolution, denoising, colorization of b/w images, tonemapping and others
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Develop efficient algorithms for deployment on embedded hardware
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Stay updated with the latest trends in the field of image processing and computer vision
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Develop both classical algorithms and modern machine learning techniques
If you are passionate about engineering and problem solving, and you're excited about keeping up with the latest trends in image processing, we encourage you to apply. Let's work together to shape the future of digital imaging consumer products.
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A degree in Computer Science, Mathematics, Physics, or a related field
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Proven experience in mathematical image processing
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Proficiency in Python, C/C++, and version control
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Familiarity with toolkits such as OpenCV, TensorFlow, or PyTorch
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Ability to develop both classical algorithms and use modern machine learning techniques
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A hands-on approach to bringing your ideas to life in our digital consumer products
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Willingness to stay updated with the latest trends in the field of image processing