Responsibilities
Develop, characterize, and optimize advanced image-processing and computer-vision algorithms for semiconductor wafer inspection applications.
Support customer and factory escalations related to PDA performance, alignment accuracy, nuisance reduction, defect sensitivity, and inspection robustness.
Analyze large-scale inspection datasets to identify root causes, quantify algorithm performance, and recommend corrective actions.
Design and implement algorithm enhancements that improve detection capability, accuracy, throughput, and production stability.
Collaborate with Applications, Systems Engineering, Software Engineering, Product Management, and Customer Support teams to resolve critical customer issues and accelerate volume ramp activities.
Develop prototypes using Python, MATLAB, or equivalent tools and transition algorithms into production-quality software.
Evaluate and apply machine learning, deep learning, and AI-based approaches where appropriate to improve inspection and image-analysis performance.
Conduct algorithm characterization studies, develop performance metrics, and create validation plans for new features and improvements.
Drive data-driven decision making through statistical analysis, visualization, and automated evaluation frameworks.
Participate in requirement definition, feature development, code reviews, design reviews, and technical documentation.
Provide technical leadership for complex debugging and root-cause investigations involving imaging systems, design alignment, and defect detection algorithms.
Qualifications
Strong foundation in
Image Processing
Computer Vision
Pattern Recognition
Signal Processing
Computational Imaging
Knowledge of image registration, alignment, pattern matching, feature extraction, optical imaging, or defect detection algorithms.
Experience with machine learning or deep learning frameworks such as TensorFlow, PyTorch, or similar.
Familiarity with Linux development environments and software development best practices.
Proficiency in Python, MATLAB, C++, or a combination of these languages.
Experience with GPU acceleration, CUDA, parallel computing, or high-performance computing techniques.
Understanding of optimization methods, model validation, and algorithm performance characterization.
Strong analytical and troubleshooting skills with the ability to work on complex technical problems.
Excellent communication skills and the ability to collaborate across cross-functional teams.
Minimum Qualifications
PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Physics or related field preferred and 1+ years of industry work experience
Master's degree or equivalent experience with 3+ years of industry work experience
About KLA
We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place, join us.
- Total Rewards
- Base Pay Range: $136,300.00 - $199,900.00 Annually
Primary Location: USA-CA-Milpitas-KLA
KLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including 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, and family care and bonding leave.
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.
Use of AI Statement
At KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation, the use of AI, recording tools or other technologies to generate, suggest or provide responses during interviews—whether virtual or in person—is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset.
Equal Opportunity Statement
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.
For additional information, view the US Know Your Rights poster on the U.S. Equal Employment Opportunity Commission website.
