/Preferred Qualifications Your impact: - Architect and implement agentic AI solutions for semiconductor applications - Develop multi-agent s
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Erforscht und trainiert Foundation-Modelle für Physiksimulation, kuratiert Simulationsdatensätze und bewertet Modelle gegen Ingenieurs-Validierungsstandards.
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Policy Development: Design, train, and evaluate vision- and language-conditioned robot policies using approaches such as imitation learning,
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
We re a Data Team that operates like a scaleup within an established company: real ownership, short decision paths, and room to shape things.
& THE TEAM The Marketing Science team acts as the engine behind Zalando’s growth, partnering with business units across the full marketing funnel.
System Architecture: Own how collection, generation, augmentation, annotation, valuation, and evaluation fit together as one coherent data-t
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Definiert die Kamera-Erfassungsspezifikation für Manipulations-Trainingsdaten, baut das Evaluationsframework und trainiert erste Roboter-Policies auf eigenen Daten.
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Erzeugt Simulationsdatensätze mit Crash-Solvern, trainiert und evaluiert KI-Physikmodelle für Crashworthiness und validiert sie gegen Ingenieursstandards.
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As an ICX Engineer, you lead the ideation and creation of these engagements.
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Development of AI/ML models; - AI solution analysis, design and implementation; - Deploy machine learning models and AI solutions into produ
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
/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, AngularC++, 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 environment. - Ability to be flexible with evolving requirements and onboard latest technologies and models. - Fluency in English, German is a plus. Why You ll Love Working at KLA: Build the software that powers tomorrow s semiconductor innovations.
At KLA s Software Center of Excellence in Dresden, you ll develop solutions that help advance the world s most sophisticated semiconductor technologies. Working at the intersection of AI, software engineering, and high-tech manufacturing, your contributions will directly influence how next-generation chips are designed and produced. Located in the heart of Dresden, one of Europe s most important semiconductor ecosystems, our office brings together talented professionals from around the world in a truly international and collaborative environment.
Here, you ll work closely with colleagues across global sites while enjoying the unique culture and innovation spirit of Silicon Saxony. Beyond meaningful work and exceptional career opportunities, we offer a modern workplace with panoramic terrace views, excellent transportation links, flexible working models, language learning opportunities, team events, and exclusive insights into the semiconductor manufacturing world. With a permanent contract, flexible working hours, competitive compensation, comprehensive benefits, and hybrid working options, KLA provides the environment you need to grow, innovate, and make a lasting impact.
If this opportunity has sparked your interest, please apply with your CV. We look forward to hearing from you. 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 to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
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.
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Zur OriginalanzeigeModelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.