Working Student - Automation and AI for Chip-Design Workflows (f/m/div)
Key responsibilities in your new role - Automation: You develop Python-based automation, utilities, and data-processing solutions for chip d
Key responsibilities in your new role - Automation: You develop Python-based automation, utilities, and data-processing solutions for chip d
Hi there! We re hiring an Information Security Engineer with a focus on Application Security to join our Information Security team at Camunda.
centers on hands-on Gen-AI and agentic solution design, paired with a shift-left mindset: rather than simply handing over AI-generated outpu
Entwickelt Angular-Frontends, integriert LLMs und AI Agents in praxisnahe Anwendungen und bindet sie an APIs und KI-Systeme an.
A Snapshot of Your Day You re building the foundation of the Financial Planning & Analysis of tomorrow.
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 are the Big Data Analytics Platform.
Promotionsforschung zu neurosymbolischem Schlussfolgern für domänenangepasste generative KI-Modelle bei Bosch in Renningen.
Join us as a working student to help build and scale an LLM Wiki as a collaborative AI-native knowledge and working environment.
AI Engineer - FDE (Forward Deployed Engineer) Req ID: CSQ427R334 We welcome remote applicants located near our offices.
Job Title: Technical Project Lead, Agentic AI Location: Berlin or Munich, Germany Why this role matters German Mittelstand companies urgentl
Gestaltet die Workplace-Automatisierungs-Roadmap, baut Copilots und Automatisierungen mit Copilot Studio und Power Platform und begleitet deren Einführung.
Optimiert Low-Level-Kernel für LLM-Inferenz auf eigener Hardware, misst Performance auf Silizium und baut Profiling-Tools.
As a Software Engineer, you develop MAIA further and help decide from the start how we solve problems.
As a Product Engineer, you own features from start to finish: from conversations with customers and concept work through to implementation a
As an AI Engineer, you develop MAIA further and help decide from the start how we solve problems.
Entwickelt die GenAI-Plattform MAIA weiter: Agentensysteme, RAG-Pipelines, Modellintegration und Evaluierung, vom Prototyp bis zur Produktion.
Softwareentwicklung, Künstliche Intelligenz, Data Engineering Ihr Schwerpunkt liegt auf der Konzeption, Entwicklung und Implementierung von
Build AI application components that are ready to be tested, deployed and maintained.
Design the path from a business requirement to a working data and AI system.
YOU ARE As a hands on AI Engineer, you will be at the heart of designing and building the components that make up advanced AI systems poweri
Dive into the world of Agentic AI and Generative AI, explore the potential of LLMs and turn your ideas into innovative AI solutions with us.
Baut und testet Power-Automate-Workflows in M365, erstellt eine Prompt-Bibliothek für Copilot und unterstützt Kolleg:innen bei KI-Fragen im Alltag.
Build AI Agents with domain context for specialized tasks, including multi-step reasoning, tool use, and autonomous decision-making.
Du arbeitest in Kundenprojekten bei großen Unternehmen und öffentlichen Auftraggebern, eingebettet in deren Teams.
You ll build the agent stack an AI consultancy runs on.
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
Key responsibilities in your new role - Automation: You develop Python-based automation, utilities, and data-processing solutions for chip design and integration workflows - Software Development: You design and enhance scalable software workflows, interfaces, and integrations between engineering tools and IT systems - AI & Innovation: You explore and prototype AI/ML and generative AI use cases, including log analysis, anomaly detection, knowledge retrieval, workflow assistance, and productivity automation - CI/CD: You build reliable CI/CD pipelines, automated testing frameworks, monitoring solutions, and technical documentation for internally developed tools - Data Analysis: You analyze workflow data and performance bottlenecks and translate findings into practical software improvements - Collaboration: You work closely with software, IT, and semiconductor-domain experts in an international engineering environment
Qualifications and skills to help you succeed - Academic Background: You are currently studying Computer Science, Informatics, Software Engineering, Data Science, Artificial Intelligence, or a comparable software-focused field - Programming Skills: You demonstrate strong programming fundamentals and practical experience with Python - Software Engineering: You understand core software engineering concepts such as modular design, APIs, testing, debugging, data structures, and algorithms - Operating Systems: You work confidently in Linux/UNIX environments and use Git for collaborative software development - Problem Solving: You enjoy solving unfamiliar technical challenges, learning complex application domains, and translating user needs into maintainable software solutions - AI Interest: You have a strong interest in AI/ML, generative AI, data engineering, or intelligent automation, with hands-on project experience considered an advantage - Tools & Technologies: You bring knowledge of additional programming languages such as Java, C++, JavaScript/TypeScript, or Go and have basic experience with CI/CD tools and technologies such as GitLab CI, Jenkins, GitHub Actions, or Docker - Languages: You communicate fluently in English, German language skills are a plus Please attach the following documents to your application: - CV in English - Certificate of enrollment at university - Latest grades transcript (not older than 6 months) - High school report Important information: - Working part-time: The focus is on studies. That’s why working as a student employee during lecture period is limited to a maximum of 20 hours per week. - Proper students (according to the German law) are welcome: To work as a student employee with us, you must be enrolled at a university and not have completed all of your exams or modules for your degree programme. You must not be in a semester of leave.
We look forward to welcoming you to our team for at least 6 months. - You should live close to the site: For good collaboration, it is important to us that you can come to the office regularly to integrate to the team. Further links: - Find out what we are looking for in your CV - Find out how the student application process works with us - Discover our student website #WeAreIn for driving decarbonization and digitalization. As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT.
Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener. Are you in?
We are on a journey to create the best Infineon for everyone. We strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity.
Our hiring decisions are based on skills and experience. Even if you don’t meet every requirement, we encourage you to apply. Please let your recruiter know if you need any accommodations during the interview process.
Learn more about our various contact channels and about Diversity & Inclusion at Infineon. Kerstin Semmler
#WeAreIn to create tiny chips and big careers. The future won’t wait. why should you? Join us and make a difference.
Whether you join as a student, intern, or trainee, you ll be part of something real - real projects, real impact, and real opportunities to grow. Are you in?
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur OriginalanzeigeKI in bestehende Software und Abläufe bringen: Agenten, RAG-Systeme, Schnittstellen, automatisierte Arbeitsketten.