(Senior) Image Processing and Machine Learning Design Engineer

<p><span>At ASML we use advanced, data-driven algorithms to keep fueling the semiconductor and electronic revolution. </span>This position would allow you to use your deep theoretical understanding of machine learning, image processing, signal processing and optimization techniques to develop next generation semiconductor metrology solutions. <span>If your ambition is to apply your knowledge, personal and leadership skills to very complex algorithmic and metrology challenges, and you feel excited when your solutions lead to successful new products, please read further.</span></p><p></p><p><u><span>Context of the Position</span></u></p><p><span>The Business Line Applications provides integrated solutions with computational, metrology and control technology. These solutions extend and improve the performance of lithography products for the semiconductor industry. The open position is located in a group within Development &amp; Engineering (D&amp;E), which is responsible for the specification, design and development of new ASML products.</span></p><p><span>Within D&amp;E Applications, the Image Processing &amp; Machine Learning Group covers the development of novel metrology methods across applications, leveraging numerical data-driven methods and physics knowledge. Relevant new metrics, machine learning algorithms, as well as new measurement functions, with optimum performance characteristics using the raw acquisitions are identified, designed and implemented.</span></p><p><span>Positioned between research and product development, the group contributes to the invention of new ASML methods, provides state-of-the-art expertise, and secures the Image Processing and Machine Learning competence.</span></p><p></p><p><u><span>Job Description</span></u></p><ul><li><p><span>Drive and propose machine-learning models and strategies, image processing algorithms, signal processing and optimization techniques and calibrations which enable and improve optical semiconductor metrology beyond the resolution limit.</span></p></li><li><p>Implement machine learning and deep learning metrology applications, with a mindset for scalable data-intensive and distributed software architectures, at the interface with colleague data science, functional and software groups</p></li><li><p><span>Design and realize fully functional end-to-end subsystems on the edge of system specifications, costs and project planning, thereby contributing directly to products for customers world-wide</span></p></li><li><p><span>Act as senior engineer, guiding R&amp;D of state-of-the-art methods at the intersection of metrology data and physical knowledge, and coach junior team members.</span></p></li><li><p><span>Collaborate with the ASML Research department and on-product applications groups to actively contribute to the invention of new ASML products</span></p></li><li><p><span>Contribute to the technical and competence roadmaps for Image Processing and Machine Learning across ASML</span></p></li><li><p><span>Stay abreast of the latest developments in your field of expertise</span></p></li><li><p><span>Generate patents protecting ASML products</span></p></li><li><p><u><span>Keywords</span></u><span> - Image and signal processing, computer vision, machine learning, optimization, geometric and wave optics, electromagnetics, simulations, photonics, microscopy, computational imaging, parameter inference, inverse problems, numerical methods, high performance computing, cloud computing, distributed computing, deep learning, </span>inference problems</p></li></ul><p></p><p><u><span>Education</span></u><span> - Ph.D. in Computer Science, Data Science, Mathematics or Physics.</span></p><p></p><p><u><span>Job requirements and personal skills</span></u></p><ul><li><p><span>5-8 years’ experience in Image or Signal Processing and Machine learning</span></p></li><li><p><span>Affinity with geometric and wave optics, electromagnetic simulations, photonics, or microscopy</span></p></li></ul><ul><li><p><span>Ability to explain complex physical models and algorithms in a crisp way, without omitting the essentials</span></p></li><li><p><span>Drive creative solutions with the product and customer in mind</span></p></li><li><p><span>Decisive and self-initiating in an ambiguous environment</span></p></li><li><p><span>Pragmatic approach and pro-active attitude, with result focus and a ‘can do’ spirit</span></p></li><li><p>Fluency in the languages Python, Julia, MATLAB, or C++, and awareness of compatibility with other software</p></li><li><p>Familiarity with various deep learning frameworks, e.g. JAX, PyTorch, TensorFlow</p></li><li><p>Experience with code development in a cloud environment</p></li><li><p>Affinity with data-intensive and distributed software architecture (cloud) as environment for metrology applications</p></li><li><p>Lead author in one or more relevant leading <span>conferences/journals,</span> e.g. CPVR, ICCV, ECCV, NeurIPS, BMVC, ICML, JMLR, IJCV, etc.</p></li>