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KCkla.com logo

kla.com

DEU-Hesse-Weilburg(Tarif)-KLA, Germany

Working Student (f/m/d) – Physics / Electrical Engineering / Signal Processing (Thesis Option Available).

INTERNENGINEERING
To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale—faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology. Group/Division The Semiconductor Products and Customers (Semi PC) business unit designs, builds and sells KLA’s product portfolio to help chip manufacturers meet high-quality standards for technologies like AI, data centers, automotive and electronic devices. Our inspection, metrology, and analytics systems detect and monitor defects across logic and memory chips, specialty semiconductors, wafers, reticles, advanced packaging, process equipment and materials. We also develop technologies for specialty processes, IC substrates, and PCB manufacturing, including etch and deposition, component inspection, and imaging and analytics. The e-Beam division plays a critical role in KLA’s inspection ecosystem, with tools that deliver high-resolution, timely insights into defects and critical locations on the wafer. Used alongside KLA’s patterned and bare wafer inspectors, e-Beam systems help our customers quickly identify and understand yield-impacting issues—enabling faster, more effective actions to correct the manufacturing process. What You'll Do In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise. Aufgaben Entwicklung agentenbasierter KI-Workflows: Konzeption und Implementierung von KI-Agenten und autonomen Workflows für die Datenanalyse, Mustererkennung und automatisierte Erkenntnisgewinnung. LLM-Integration: Bereitstellung, Konfiguration und Integration großer Sprachmodelle wie Codestral-22B, Llama-3-8B oder vergleichbarer Modelle für datenanalytische Anwendungsfälle. Datenanalyse: Analyse von Datenströmen und historischen Daten zur Identifikation von Mustern, Anomalien, Korrelationen und Optimierungspotenzialen. Entwicklung von Machine-Learning-Modellen: Unterstützung bei der Entwicklung und Erprobung von ML-Modellen zur Anomalienerkennung, Mustererkennung und automatisierten Diagnose. Entwicklung von Datenpipelines und Schnittstellen: Aufbau von Schnittstellen und Datenpipelines zur Verbindung von Datenquellen mit KI-basierten Analyse-Workflows. Automatisiertes Reporting und Benachrichtigung: Erstellung automatisierter Berichte, Diagnosen und Benachrichtigungen zur Unterstützung von Service-, Fertigungs- und Systemanwendungsteams. Infrastrukturaufbau und Deployment: Unterstützung beim Aufbau einer GPU-basierten Entwicklungs- und Deployment-Umgebung für lokale Tests und den produktiven Einsatz von Agenten. Dokumentation und Wissenstransfer: Dokumentation der entwickelten Lösungen, Deployment-Schritte und gewonnenen Erkenntnisse zur Übergabe an das Engineering-Team. Minimum Qualifications Eingeschriebene Studentin oder eingeschriebener Student der Informatik, Softwareentwicklung, Data Science, Elektrotechnik, Physik oder eines vergleichbaren technischen Studiengangs Sehr gute Python-Programmierkenntnisse und praktisches Interesse an Softwareentwicklung Grundverständnis von Datenanalyse, Machine Learning und statistischen Methoden Erfahrung mit Linux- und/oder Windows-Betriebssystemen Strukturierte und systematische Arbeitsweise sowie Fähigkeit, selbstständig und im Team zu arbeiten Sehr gute Englischkenntnisse, da das Arbeitsumfeld und der Support englischsprachig sind Verfügbarkeit für regelmäßige Präsenz vor Ort in Weilburg, mindestens 3 Tage pro Woche Interesse an Halbleitertechnologie, industrieller Datenanalyse und praktischen KI-Anwendungen About KLA We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place, join us. Use of AI Statement At KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation, the use of AI, recording tools or other technologies to generate, suggest or provide responses during interviews—whether virtual or in person—is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset. 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. We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us. Additional Information 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.
Pay
Not stated
Where
DEU-Hesse-Weilburg(Tarif)-KLA, Germany
Work
Not stated
Type
Not stated
Posted
20 Oct, 2026
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