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Selected role

Senior AI Engineer

KLA Dresden, SN, DE

Senior Full-time

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

Enabling the movement toward advanced chip design, KLA's Measurement, Analytics and Control group (MACH) is looking for the best and brightest research scientists, software engineers, application development engineers and senior product technology process engineers to join our team. The MACH team's mission is to collaborate with our customers to innovate technologies and solutions that detect and control highly complex process variations—at their source—rather than compensate for them at later stages of the manufacturing process. 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. Our MACH team develops leading-edge solutions for patterning process analytics and control technologies, thereby providing customers with critical insight at the feature level, field level and cross-wafer analysis. Our teams also develop advanced modeling simulation, data analytics and process control modeling technologies. As a member of the MACH team, you’ll be joining the most sophisticated and successful process-control company in the semiconductor industry-working across functions to solve the most complex technical problems in the digital age.

Job Description/Preferred Qualifications

MACH, the software data analytics division in KLA is looking for a passionate and motivated Senior AI Engineer with experience developing, evaluating, deploying, and monitoring Agentic AI applications that go beyond traditional machine and deep learning. In this role, the candidate will be responsible for working with the division’s AI Working Group integrating Agentic AI across various products to solve complex challenges in semiconductor manufacturing. The candidate will be involved in technical/architectural design, identifying suitable technology stacks, and hands-on development and will be working with a talented cross-functional teams integrating these intelligent agents into applications and workflows that enhance efficiency, quality, and innovation.

Responsibilities:

Architect and implement agentic AI solutions for semiconductor applications
Develop multi-agent systems that collaborate across semiconductor domains
Integrate reasoning, planning, and reinforcement learning into AI workflows
Collaborate with hardware, software, and data teams to ensure seamless deployment, usability and user-experience
Continuously evaluate emerging technologies in agent-based AI and apply them to real-world semiconductor challenges.

Skills & Experience:

5+ years in AI/ML development, with strong exposure to agent-based systems or reinforcement learning, having designed, evaluated, deployed, and monitored such applications
Experience with LLM pre-training is optional, but a significant advantage
At least 5 years of total post-graduation working experience in software engineering, preferably including Machine Learning and Deep Learning
Proficiency in key programming languages and APIs such as Python, JavaScript, Angular/Vue, C/C++, PyTorch
Experience developing web-based front-ends
Understanding of semiconductor manufacturing processes and data pipelines is a plus
Understanding of cloud platforms and MLOps for scalable AI deployment.
Strong communication skills and ability to easily work in a dynamic cross-functional environment
Strong ability to be flexible with evolving requirements and onboard latest technologies and models

Academic Background:

Master’s degree or PhD in Computer Science, Electrical Engineering or related field
Minor in Mathematics is optional, but preferred

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

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

[email protected]

to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

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