Algorithm Engineer

Job Title

Algorithm Engineer

Role Summary

Design, implement, and deploy computer vision and deep learning algorithms for high-throughput semiconductor inspection systems within the LS-SWIFT algorithms group. Work cross-functionally with software, systems, applications, and field engineers to move solutions from prototype to production.

Experience Level

Mid-level. Experience expectations vary by degree and role; see Education Requirements for degree-specific experience guidance.

Responsibilities

Primary responsibilities include research, development, and production deployment of ML/CV solutions for industrial inspection:

• Design, develop, and optimize machine learning and deep learning algorithms for image and signal processing.
• Take algorithms from concept and prototyping to production deployment and maintenance.
• Invent and evaluate novel computer vision approaches for challenging, real-world datasets.
• Analyze system performance, diagnose issues, and improve robustness and accuracy in production environments.
• Collaborate with cross-functional teams to integrate algorithms into product architectures and support field deployments.
• Contribute to architectural decisions to improve algorithm performance, scalability, and maintainability.

Requirements

Must-have technical skills and experience:

• Strong background in machine learning, deep learning, computer vision, or image processing.
• Hands-on experience with at least one major deep learning framework such as TensorFlow or PyTorch.
• Proven experience training, validating, and deploying ML/DL models in production environments.
• Proficient programming skills in C++ and/or Python; familiarity with object-oriented or functional programming.
• Ability to design model architectures, customize loss functions, and optimize models for real-world constraints.
• Strong problem-solving skills and ability to work on ambiguous, open-ended challenges.

Nice-to-have:

• Experience with large-scale, high-resolution image data or industrial inspection systems.
• Familiarity with performance optimization, GPU acceleration, or real-time systems.
• Experience working in cross-functional product environments from R&D to customer deployment.

Education Requirements

Minimum qualifications specify degree plus related work experience: Doctorate (PhD) with 0 years related experience; Master’s degree with ~3 years related experience; Bachelor’s degree with ~5 years related experience. Degrees should be in relevant technical fields (engineering, computer science, physics, or similar) or equivalent practical experience.

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.