Your Role

Are you interested in shaping the future of smart digital hunting and nature observation products? We are looking for a passionate and talented Image Processing Engineer to contribute to the development of our next generation devices. 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. You will 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 and beyond. You should be well versed in Python, C/C++ and version control, and be able to develop classical algorithms as well as using modern machine learning techniques. Key Responsibilities:

• Develop both classical algorithms and modern machine learning techniques

• Implement algorithms efficiently on embedded hardware

• Optimize parameters for our image pipeline

• Develop innovative solutions for hardware-constrained challenges

• Train your own models for various applications like super resolution, denoising, colorization of b/w images, tonemapping and others

• Stay updated with the latest trends in the field of image processing and computer vision 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 hunting and nature observation products.

Your Profile

• A Master's degree or PhD in Computer Science, Mathematics, Physics, or a related field

• Proven experience in mathematical image processing

• Proficiency in Python, C/C++, and version control

• Familiarity with toolkits such as OpenCV, TensorFlow, or PyTorch

• Ability to develop both classical algorithms and use modern machine learning techniques

• A hands-on approach to bringing your ideas to life in our digital consumer products

• Willingness to stay updated with the latest trends in the field of image processing

Your ZEISS Recruiting Team:

Megha Vishwakarma