Algorithm engineer
About The Position
KLA’s LS-SWIFT algorithms group develops high-throughput patterned wafer inspection systems for semiconductor manufacturing. The Algorithm Engineer will design and deploy computer vision, machine learning, and deep learning solutions for AI-powered inspection systems. The role is based in California and involves work on complex image and signal processing problems, taking algorithms from research and prototyping through production deployment and customer impact. The successful candidate will join a team of PhDs, machine vision experts, and algorithm engineers. They will help advance inspection capabilities for semiconductor applications, including logic, memory, automotive, and advanced packaging, while improving algorithm accuracy, robustness, performance, scalability, and maintainability.
Requirements
- Strong background in one or more of 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.
- Experience training, validating, and deploying machine learning or deep learning models in production environments.
- Programming skills in 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.
- A doctorate, master's, or bachelor's degree and three years of related work experience.
Nice To Haves
- 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.
Responsibilities
- Design, develop, and optimize machine learning and deep learning algorithms for image and signal processing applications.
- Own algorithm development from concept and prototyping through production deployment.
- Invent, evaluate, and implement computer vision approaches for challenging real-world datasets.
- Analyze system performance, debug complex issues, and improve robustness and accuracy in production environments.
- Collaborate with software, systems, applications, and field engineering teams to deliver high-quality solutions.
- Contribute to architectural decisions and improve algorithm performance, scalability, and maintainability.
Benefits
- Medical, dental, vision, life, and other voluntary benefits
- 401(k) with company matching
- Employee stock purchase program (ESPP)
- Student debt assistance
- Tuition reimbursement program
- Development and career growth opportunities and programs
- Financial planning benefits
- Wellness benefits, including an employee assistance program (EAP)
- Paid time off and paid company holidays
- Family care and bonding leave
- Performance incentive programs
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
