
Makes wafer fab equipment.
Algorithm Manager at KLA
About the role
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. The LS-SWIFT Division of KLA’s Global Products Group provides patterned wafer inspection systems for high-volume semiconductor manufacturing. Its mission is to deliver market-leading cost of ownership in defect detection for a broad range of applications in the production of semiconductors. Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets rely upon high-sample wafer inspection information generated by LS-SWIFT products. LS (Laser Scanning) systems enable cost-effective patterned wafer defect detection for the industry’s most sophisticated process technologies deployed in leading-edge foundry, logic, DRAM, and NAND fabs. SWIFT (Simultaneous Wafer Inspection at Fast Throughput) systems deliver all-wafer-surface (frontside, backside, and edge) macro inspection that is critical for automotive IC, MEMS, and advanced packaging processes as well as foundry/logic and memory fabs. LS-SWIFT operates from a global footprint that includes the US, Singapore, India and Germany, and serves a worldwide customer base across Asia, Europe and North America.
Job Description/Preferred Qualifications
Responsibilities:
- Provide technical leadership in algorithm design and development for wafer inspection products.
- Collaborate with system, product, and domain experts to define algorithm performance requirements and deliver customer‑driven solutions.
- Mentor and motivate engineers to solve complex technical and investigative problems.
- Represent the algorithms team during system‑level hardware and software integration.
- Develop, validate, and deploy image processing, computer vision, and machine learning algorithms.
- Support software quality and reliability activities as part of the development lifecycle.
Qualifications:
- Strong background in image processing and computer vision; working knowledge of machine learning and deep learning.
- Proficient in C/C++ and MATLAB; experience on Unix/Linux platforms.
- Hands‑on experience with object‑oriented and/or functional programming.
- Python and ML frameworks (e.g., Tensor Flow) experience is a plus.
- Strong problem‑solving skills with the ability to work effectively in a fast‑paced environment.
- Good communication and collaboration skills with emerging technical leadership capability.
Minimum Qualifications
PhD in CS/EE/Math/Physics with 3+ years of experience, or MTech/MS/BTech/BS in CS/EE with 6+ years of 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
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
Required skills
Algorithm development
Technical leadership
Team management
Problem solving
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About KLA

KLA
PublicKLA Corporation is an American company based in Milpitas, California that makes wafer fab equipment. It supplies process control and yield management systems for the semiconductor industry and other related nanoelectronics industries.
10,001+
Employees
Milpitas
Headquarters
$47B
Valuation
Reviews
1 reviews
2.7
1 reviews
Work-life balance
2.5
Compensation
3.0
Culture
2.0
Career
2.5
Management
1.5
25%
Recommend to a friend
Cons
Disconnected upper management
Management focused only on meeting dates
Low employee morale
Salary Ranges
3 data points
L4
L5
L4 · Data Scientist
0 reports
$147,667
total per year
Base
-
Stock
-
Bonus
-
$125,532
$169,802
Interview experience
3 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Offer rate
33%
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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