About the role
AI summarisedComputer Vision Engineer at Micron's Engineering Tool Development group, applying computer vision, image processing, and machine learning to develop software solutions for semiconductor manufacturing. The role involves designing image analysis solutions, collaborating with engineers, and working in a global team environment.
IDMFull-timeHIG
Key Responsibilities
- Design and develop advanced image processing and analysis solutions to extract measurements, perform calculations, and analyze image data.
- Apply computer vision, image processing, and machine learning techniques to solve practical engineering problems.
- Collaborate directly with engineers in defect analysis, electrical failure analysis, process development, and other diagnostic domains.
- Develop solutions that improve engineering efficiency and enable innovation using modern software and vision technologies.
- Work within a global team environment and contribute to continuous improvement and technical learning.
- Assist with rotational on‑call support, providing engineering‑level assistance during critical manufacturing incidents or system outages as needed.
Requirements
- A Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, Mathematics, Statistics, or a related analytical field is required. Additionally, at least 2 years of relevant experience as a data scientist is needed.
- Master's degree in a relevant technical field plus a minimum of 2 years of relevant experience in a data scientist role.
- Advanced degrees (M.S. or Ph.D.) with applied research or industry‑relevant experience are preferred.
- Minimum of 4 years' hands‑on experience proven ability to apply image processing techniques (e.g., filtering, morphology, segmentation), visual recognition methods (e.g., feature detection, measurement, classification), and machine learning approaches (spanning established algorithms and contemporary deep network techniques) for practical applications in engineering.
- Proficiency in at least one primary programming language used for production of research workflows (e.g. Python, MATLAB, R) with proven ability to write maintainable, well-structured code.
- Practical experience using computer vision libraries such as OpenCV and Scikit image (skimage) to solve real world image analysis problems.
- Minimum 2 years working experience developing, training, and validating machine learning and/or deep learning models using frameworks such as PyTorch, TensorFlow, or Keras.
- Customer focus and relationship‑building skills.
- Proven ability to drive results and continuous improvement.
- Excellent foundation in mathematics, probability theory, machine learning, and computer vision.
- Basic knowledge of professional software engineering practices.
- Knowledge of semiconductor manufacturing processes is preferred.