Artificial Intelligence Engineer

Job Title

Artificial Intelligence Engineer

Role Summary

Develop and productize machine learning and deep learning algorithms for semiconductor inspection systems in the LS-SWIFT algorithms group. Work spans research, prototyping, and deployment of computer vision and image-processing solutions used in high-volume wafer inspection.

The role is part of a multidisciplinary algorithms team building AI-enabled metrology and inspection products for advanced semiconductor manufacturing.

Experience Level

Mid-level. Experience guidance provided by the employer: PhD with 0 years related experience; Master's with ~3 years; Bachelor's with ~5 years.

Responsibilities

Primary technical and delivery responsibilities include:

• Design, develop, test, and debug complex ML and DL algorithms for image analysis and defect detection.
• Invent and prototype new image-processing and computer-vision approaches; iterate prototypes toward production readiness.
• Train, validate, and optimize models for deployment in product environments.
• Implement and maintain production-quality code using object-oriented and functional programming techniques.
• Collaborate with cross-functional teams and communicate technical results clearly in writing and verbally.
• Contribute to product integration, performance tuning, and system-level testing.

Requirements

Core technical requirements and preferred skills.

• Must-have: Strong background in machine learning, deep learning, computer vision, or image processing.
• Must-have: Practical experience with common deep learning frameworks such as TensorFlow or PyTorch.
• Must-have: Hands-on experience training ML/AI models that have been deployed in a product or production-like environment.
• Must-have: Ability to design model architectures from scratch and modify loss functions and training procedures.
• Must-have: Proficient programming skills and experience with object-oriented and functional programming paradigms.
• Nice-to-have: Experience with semiconductor inspection, metrology, or imaging hardware and real-world production constraints.
• Nice-to-have: Experience leading projects from research to product delivery.

Education Requirements

Employer-specified combinations: Doctorate (PhD) with 0 years related work experience; Master's degree with ~3 years related work experience; Bachelor's degree with ~5 years related work experience. Degrees are expected in relevant technical fields (for example: Computer Science, Electrical Engineering, Physics, or similar technical disciplines).

About the Company

Company: KLA

Headquarters: Chennai, India

KLA is a global leader in diversified electronics for the semiconductor manufacturing industry. The company enables the production of electronic devices by inventing systems and solutions for manufacturing integrated circuits, wafers, and displays. With over 40 years of experience, KLA invests heavily in innovation and R&D to support advanced chip design and manufacturing process optimization, collaborating with top technology providers to deliver future electronic devices.