What You'll Do
In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise.
Key Responsibilities
Design, develop, and optimize image processing and computer vision algorithms for semiconductor inspection applications.
Evaluate and productize machine learning and deep learning approaches where they provide measurable value.
Prototype new concepts using Python and other analytical tools, and implement production-quality solutions in C++.
Drive feature development from requirements definition through implementation, validation, release, and customer deployment.
Perform root-cause analysis for field issues and develop robust corrective actions.
Document algorithm design, experimental results, and technical recommendations.
Preferred Qualifications
Required
Strong knowledge of
Image Processing
Computer Vision
Machine and Deep Learning fundamentals
Statistics and Data Analysis
Pattern Recognition
Optimization techniques
Proficiency in
C++
Python
Linux development environments
Strong debugging, problem-solving, and analytical skills.
Ability to work independently on technically challenging assignments.
Minimum Qualifications
Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years
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.
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.
We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.
KLA is proud to be an equal opportunity employer.
