Computer Vision Engineer (Data Scientist)

About the role

Micron's Engineering Tool Development (ETD) group develops advanced software solutions that enable innovation across its technology development and manufacturing organizations, working at the intersection of software engineering, computer vision and semiconductor technology. As a Computer Vision Engineer, you will apply computer vision, image processing and machine learning techniques to solve complex software problems, working with multiple programming languages, frameworks and disciplines in a fast-evolving technical environment.

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 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.

Required profile

• Bachelor's or Master's degree, or equivalent experience, in Computer Science, Computer Engineering, Mathematics, Statistics or a related analytical field; M.S. or Ph.D. with applied research or industry experience preferred.
• At least 4 years of hands-on experience applying image processing, visual recognition and machine learning techniques to engineering applications.
• Minimum 2 years of experience developing, training and validating machine learning and/or deep learning models.
• Customer focus, relationship-building skills, and a proven ability to drive results and continuous improvement.
• Knowledge of semiconductor manufacturing processes is preferred.

Required skills

• Proficiency in at least one production programming language such as Python, MATLAB or R.
• Experience with computer vision libraries such as OpenCV and scikit-image.
• Experience with PyTorch, TensorFlow or Keras.
• Strong foundation in mathematics, probability theory, machine learning and computer vision.
• Basic knowledge of professional software engineering practices.