Algorithm engineer

Company Overview

Group/Division

Job Description/Preferred Qualifications

Are you a computer vision engineer or researcher who thrives on solving challenging, real-world problems? Do you enjoy taking ideas from concept through to production at scale? At KLA, you will work on cutting-edge AI-powered inspection systems that enable breakthroughs in semiconductor manufacturing—the backbone of modern technology.

Join a high-performing team of PhDs, machine vision experts, and algorithm engineers, where you will design and deploy next-generation computer vision and deep learning solutions in complex, high-impact environments. The successful candidate will grow their career within the LS-SWIFT algorithms group in California, working on some of the most advanced inspection systems in the industry.

Key Responsibilities

• Design, develop, and optimize advanced machine learning and deep learning algorithms for complex image and signal processing applications
• Take ownership of algorithm development from concept and prototyping to production deployment
• Invent, evaluate, and implement novel computer vision approaches for challenging, real-world datasets
• Analyze system performance, debug complex issues, and improve robustness and accuracy in production environments
• Collaborate closely with cross-functional teams (software, systems, applications, and field engineers) to deliver high-quality solutions
• Contribute to architectural decisions and continuously improve algorithm performance, scalability, and maintainability

Qualifications

• Strong background in one or more of the following: Machine Learning
• Deep Learning
• Computer Vision
• Image Processing
• Hands-on experience with at least one major deep learning framework (e.g., TensorFlow, PyTorch)
• Proven experience training, validating, and deploying ML/DL models in production environments
• Solid programming skills (C++ and/or Python), with experience in object-oriented and/or functional programming
• Ability to design model architectures, customize loss functions, and optimize performance for real-world constraints
• Strong problem-solving skills and ability to work on ambiguous, open-ended challenges

Preferred (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)

What Makes This Role Unique

• Work on mission-critical systems used by leading semiconductor companies worldwide
• Solve unsolved, high-impact problems at the intersection of AI and physics
• See your work move from research to production and customer impact
• Collaborate with a highly skilled, supportive, and driven team

Minimum Qualifications

Doctorate (Academic) Degree and 3 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 3 years

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.

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