Qualifications
In this role, you will:
- Contribute to novel image processing, defect detection and analysis, and optimization algorithms balancing sophistication and computational complexity through comprehensive data analysis
- Evaluate and productize deep learning and other novel approaches that complement and improve the performance of existing algorithms in the inspection space
- Collaborate with software and computer groups to design and implement data management, model training and inference flows
- Bring forward creative ideas, develop proof-of-concepts, integrate algorithms into production code, and work with other team members in Ann Arbor and in global project teams
Qualifications
- PhD Level Degree with foundation in signal/image processing
- Academic or work experience required in any of the following areas: Image Processing, Detection, Image-Based Metrology, Computational Imaging, Computer Vision
- Practical experience with Deep Learning, Machine Learning, or Artificial Intelligence, for images, is preferred
- Experience prototyping Algorithms using MATLAB or Python, and implementingalgorithms using full-stack experience with object-oriented programming (OOP/OOD) in C++ under Linux is preferred
- Familiarity with any of the following is a plus: Linear and Nonlinear Optimization techniques, CUDA/GPU Programming frameworks (e.g., TensorFlow), and Data Analysis and Visualization tools
- Great teammate with excellent written and verbal communication skills.
Hybrid Work:
This position allows flexibility and may require at least 2-3 days in a week at office.
Minimum Qualifications
in Computer Science, Computer Engineering, Electrical Engineer, Mechanical Engineer, Applied Math, or Physics or related field preferred.
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