AI Vision Engineer

Job Description/Preferred Qualifications

Key Responsibilities

• Design train and deploy computer vision models for object detection classification and positioning in semiconductor service environments
• Build robust image and video processing pipelines that handle real-world field conditions
• Develop and maintain training data pipelines: collection annotation augmentation and quality assurance
• Optimize models for inference performance across deployment targets balancing accuracy latency and compute constraints
• Integrate vision capabilities into broader multimodal AI systems that combine visual perception with knowledge retrieval and reasoning
• Build evaluation frameworks that measure model performance against real field data
• Design model architectures that serve both AI knowledge systems and future robotics/automation initiatives
• Stay current with the vision model frontier and bring whats relevant into production
• Document model architectures training procedures and deployment patterns so the team can build on your work

Qualifications

• Bachelors degree in Computer Science Electrical Engineering or related field; Masters preferred
• 1 years of experience building and deploying computer vision systems (strong new grads with demonstrated projects or research considered)
• Strong proficiency in Python and deep learning frameworks (PyTorch TensorFlow)
• Hands-on experience with object detection and classification architectures and transfer learning / fine-tuning approaches
• Experience building training data pipelines annotation tooling data augmentation and active learning strategies
• Experience with model optimization techniques for edge or constrained deployment
• Strong understanding of image processing fundamentals and camera systems
• Self-directed you experiment iterate and push boundaries without waiting for direction
• Excellent problem-solving skills and ability to debug model failures in messy real-world data
• Prior experience in manufacturing robotics industrial inspection or semiconductor environments is a plus
• Experience with 3D vision depth estimation or point cloud processing is a plus

Minimum Qualifications

Masters Level Degree and 0 years related work experience; Bachelors Level Degree and related work experience of 2 years

We offer a competitive family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment while ensuring we provide benefits that meet the diverse needs of our employees.

KLA is proud to be an equal opportunity employer

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview to become an employee or for equipment. Further KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLAs Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication an interview an offer of employment or that an employee is not legitimate please send an email to to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.