Analyst, Algorithm Development Engineering

Company Overview
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Group/Division
With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. First to deliver the best imaging and classification data for every defect or point on any layer at any time. EBeam's mission encapsulates its role as the "eyes" of KLA's product line, providing timely information on defects and critical locations on the wafer at the highest spatial resolution possible. Customers use EBeam products alongside KLA patterned and bare wafer inspectors to quickly understand the nature of defects and other imperfections on product wafers and take action to correct the manufacturing process.

Job Description/Preferred Qualifications

• Technical Skills:

• Proficiency in conventional image processing techniques, including:

• Filtering (Gaussian, Median, etc.)

• Edge detection (Sobel, Canny)
• Thresholding, morphological operations, and histogram analysis

• Fourier Transforms

• Familiarity with classical computer vision methods, such as:

• Feature extraction (SIFT, SURF, ORB)

• Object detection using Haar cascades or contour analysis

• Image registration, geometric transformations, and camera calibration

• Hands-on experience with tools like OpenCV, scikit-image

• Expertise in C/C++, Linux Development.

• Good debugging skills in using gdb and Linux system utilities to troubleshoot timing sensitive distributed applications.

• Analytical Abilities:

• Strong mathematical foundation in linear algebra, calculus and statistics.

• Ability to analyze, interpret, and troubleshoot visual data effectively.

• Excellent problem-solving skills and attention to detail.

• Soft Skills:

• Excellent communication and interpersonal skills.

• Willingness to learn and adapt to new technologies and customer environments.

• Ability to work independently and collaboratively in cross-functional teams.

• Mobility & Commitment:

• Willingness to travel to customer sites for long-term support engagements.

• Availability for on-site assignments lasting 12 months or more, depending on project requirements.

Bonus Qualifications
:

• Academic projects or internships involving image analysis or computer vision.
• Exposure to machine learning or deep learning for visual tasks.

Minimum Qualifications
Master's Level or PhD Degree with 0-3 years related work experience;

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
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