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
Must have Qualifications:
Deep proficiency in core programming concepts, with hands-on expertise in
Java
,
Python
, or
C++
Strong background in
object-oriented design (OOD)
and
multi-threaded application
development
Demonstrated experience in
full-stack web development
, specializing in
microservices architecture, performance optimization, and security best practices
Solid understanding of
data structures and algorithms
Practical experience with
Kubernetes
and designing scalable
microservices
Excellent
analytical
,
problem-solving
, and
organizational skills
, with strong communication abilities (both verbal and written)
Ability to
bridge theoretical concepts and real-world implementations
Experience managing the full product development lifecycle, from concept to deployment
Experience designing and deploying
ML/DL pipelines
for training, inference, validation, and monitoring is a plus
Technical leadership or mentoring experience is a plus
Exposure to
computer vision, signal processing, or time‑series analysis
, particularly for high‑volume or high‑resolution data is a plus
Responsibilities:
Design, develop, and maintain
ML/DL‑based software solutions
&
big-data analysis
for large, complex semiconductor systems
Apply machine learning and deep learning techniques to
semiconductor metrology, inspection, yield analysis, defect classification, and process optimization
Collaborate with
globally distributed teams
, including hardware, optics, algorithms, and systems engineers, to deliver high‑impact AI solutions
Analyze and resolve
complex system‑level issues
spanning software, ML models, data quality, and hardware interactions
Drive
model performance tuning, robustness, and explainability
to meet manufacturing and customer requirements
Identify root causes of product or process variability and propose
innovative ML‑driven solutions
Support technology transfer from
research and prototyping to high‑volume manufacturing environments
Travel to other
company sites and customer locations
as required to support deployment, debugging, and adoption
Participate in
end‑to‑end product development lifecycle
activities, from design through deployment and support
Minimum Qualifications
Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years; Bachelor's Level Degree and related work experience of 8 years
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.
