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

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.

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

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

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

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