Engineer, Algorithm (P2)

Job Title

Engineer, Algorithm (P2)

Role Summary

Develop data-driven algorithms and statistical models for metrology and inspection products used in semiconductor manufacturing. Work on machine learning, deep learning, and statistical solutions to improve measurement accuracy, signal quality, and model performance in production tools.

Experience Level

Mid-level. The posting accepts candidates with a Master’s degree and 0 years related experience, or a Bachelor’s degree plus ~2 years related experience.

Responsibilities

Contribute to algorithm design, model development, and deployment for metrology applications. Collaborate with engineering and software teams to translate field problems into practical solutions.

• Design and implement data-driven solutions for customer problems in metrology systems.
• Apply machine learning, deep learning, and advanced statistical techniques for characterization, modeling, and data interpretation.
• Analyze large, diverse datasets to detect patterns, improve signal quality, and enhance model performance.
• Prototype and validate approaches rapidly: hypothesis formulation, experimentation, model evaluation, and iteration.
• Work closely with systems, application, and software engineering teams to troubleshoot and integrate algorithms into products.
• Own solution lifecycle activities including deployment and continuous improvement.
• Optimize algorithms for performance and reliability in production environments.

Requirements

Key technical and professional requirements. Degrees are summarized separately in the Education Requirements section below.

• Must-have: Proficiency with Python and common AI/ML libraries for model development and statistical analysis.
• Must-have: Practical experience with machine learning, deep learning, and statistical modeling applied to real data.
• Must-have: Ability to analyze large datasets, perform feature engineering, and evaluate model performance.
• Must-have: Experience with model deployment or exposure to model development-to-deployment workflows.
• Must-have: Strong problem-solving, experimental design, and validation skills.
• Nice-to-have: Experience in algorithm optimization, production tool integration, or metrology/semiconductor domain knowledge.
• Nice-to-have: Familiarity with software engineering practices and cross-team collaboration in product environments.

Education Requirements

Master's-level degree (acceptable with 0 years related experience) OR Bachelor's-level degree with approximately 2 years related experience. No specific field of study or certifications are listed; equivalent-experience language is not explicitly stated in the posting.

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.