Senior/Staff, Data Scientist

Our Team

Micron's Engineering Tool Development (ETD) group develops advanced software solutions that enable innovation across Micron's technology development and manufacturing organizations. The team works at the intersection of software engineering, computer vision, and semiconductor technology to deliver tools that improve efficiency, yield, and insight across a broad range of engineering disciplines.

Job Summary

As a Computer Vision Engineer, you will apply computer vision, image processing, and machine learning techniques to solve complex software problems. You will work with multiple programming languages, frameworks, and disciplines, and you will be encouraged to experiment with new technologies while continuously developing your skills in a fast‑evolving technical environment.

As an engineer in the Engineering Tool Development group, you will have the opportunity to work on a broad set of technologies and solutions that enable Micron's innovation across technology development and manufacturing.

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.

Required Qualifications

• A Bachelor/Master's degree or equivalent experience in Computer Science, Computer Engineering, Mathematics, Statistics, or a related analytical field is required.

• 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.