Video signal processing and coding SW developer
Job Description
- Affinity with building/testing end-to-end systems involving edge/cloud compute and camera hardware.
- Experience/affinity with neural network deployment and training.
- Affinity with neural network optimization strategies.
- Experience in supporting video standardization.
- Experienced SW developer with video algorithm development and implementation.
- Native knowledge of Python and C++.
- Proficiency in video processing tools like GStreamer and development tools like CMake/Ninja and CI/CD.
- Knowledge of neural network optimization frameworks (ONNX, TensorRT).
- Good understanding of state-of-the-art video architectures (mobile, on-premise, cloud processing, AWS).
Job Title
Video signal processing and coding SW developer
Job Description
You will be part of Intellectual Property & Standards, a Philips business that optimizes IP assets and provides counselling to support innovation and new business opportunities – for Philips and others. You will join the “Digital Standardization & Licensing Research” department with presence in The Netherlands and the US . Within this group, we provide technology options for innovations in both the professional health and well-being as the consumer domain. We actively contribute to the creation of consumer and industry standards, and we further mature ideas and technologies in close collaboration with internal and external partners.
With this vacancy, we intend to strengthen our video team in Eindhoven, The Netherlands. You will be part of our research team of video experts.
Your profile
- BSc, or MSc degree in Informatics, Computer Science, Engineering (Software, Computer, Electrical, Electronics/Communications etc.)
- Experienced SW developer with experience in video algorithm development and implementation.
- Native knowledge of Python and C++; able to transfer algorithms to modular software in C++
- Use of video processing tools such as GStreamer, and software development tools such as CMake/Ninja and CI/CD
- Knowledge of neural network optimization frameworks for CPU/GPU such as ONNX and TensorRT.
- Good understanding of state-of-the-art video architectures, ranging from mobile, on premise and cloud processing (experience with AWS).
- Affinity with building/testing end-to-end system that involve edge/cloud compute and camera hardware.
- Experience/affinity with neural network deployment and training.
- Affinity with neural network optimization strategies.
- Experience in supporting video standardization.
How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week with the preference up to 5 days.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
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If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here
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