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AI Engineer; m​/f​/d) Semiconductor Innovation

in 01069, Dresden, Sachsen, Deutschland
Unternehmen: KLA-Belgium
Vollzeit position
Verfasst am 2026-10-05
Berufliche Spezialisierung:
  • Software Entwicklung
    Künstliche Intelligenz Ingenieur, Maschinelles Lernen, Software-Ingenieur
Gehalts-/Lohnspanne oder Branchenbenchmark: 90000 - 140000 EUR pro Jahr EUR 90000.00 140000.00 YEAR
Stellenbeschreibung
Stellenbezeichnung: AI Engineer (m/f/d) for Semiconductor Innovation
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

Your impact:
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.

Minimum Qualifications

What You Bring to the Team:
University degree in Computer Science, Electrical Engineering or related field. Several years working experience in software engineering, preferably including Machine Learning and Deep Learning. Proficient experience in AI/ML development, with strong exposure to agent‑based systems or reinforcement learning, having designed, evaluated, deployed, and monitored such applications. Understanding of key programming languages and APIs such as Python, JavaScript, Angular/Vue, C/C++, PyTorch.

Experience developing web‑based front‑ends. Understanding of cloud platforms and MLOps for scalable AI deployment. Advantage would be previous experience in semiconductor manufacturing processes and data pipelines. Plus would be also experience with LLM pre‑training. Good communication skills and ability to easily work in a dynamic cross‑functional…

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