Huawei s Heisenberg Research Center is responsible for advanced technology research, architectural development, design and strategic engineering of our products.
Design and build agentic GenAI systems using modern frameworks such as LangChain, AutoGen or Atomic Agents, taking the lead on translating p
Entwickelt und trainiert generative 3D-Weltmodelle und Diffusionsmodelle für Bild und Video, inklusive verteiltem Training und Produktivsetzung.
Master s degree or PhD in Computer Science, Information Systems, Robotics, Computer Vision, or a related field.
Wir schreiben dir, sobald eine neue geprüfte Stelle in München dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
define and own the data science and AI strategy across the organization - lead development and scaling of predictive and generative AI model
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and simulation.
Bridge the gap: Develop and maintain the hardware abstraction layers that allow our higher-level autonomy modules to interact seamlessly with the physical robot.
As an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences.
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
is hands-on and code-heavy — you will work inside the same monorepo as the research team, mostly in Python, and should be as comfortable ref
At ARX Robotics, you will help advance the perception capabilities of next-generation unmanned ground vehicles.
Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvem
Entwickelt das Agents Kit, ein Mendix-SDK für Agenten und agentische Anwendungen, und arbeitet dazu mit Early-Adopter-Kunden in München.
As an AI/LLM Engineer, you will play a key role in building agentic AI systems end-to-end.
Join our growing Roland Berger AI Lab as the technical backbone for designing secure, scalable (Gen)AI systems.
Huawei s Heisenberg Research Center in Munich is responsible for advanced technology research, architectural development, design and strateg
will include: - Design and deliver end-to-end AI solutions, from proof of concept to production.
Begleitet Kunden von der KI-Strategie bis zur Produktivsetzung, entwirft Architekturen, baut Prototypen und verantwortet Pilotprojekte mit Mistral-Modellen.
Entwirft und deployt KI-Lösungen bei Industriekunden, von der Roadmap bis zur Produktion, inkl. Physik-KI-Pipelines.
As an AI Deployment Strategist with Science Focus, you will drive the adoption and deployment of Mistral s AI solutions for science-heavy pr
You’ll be responsible for onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best prod
Entwirft und deployt KI-gestützte Cybersecurity-Lösungen bei Kunden, von Workshops mit CISOs bis zur Produktion, zusammen mit dem Applied-AI-Team.
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
Huawei s Heisenberg Research Center is responsible for advanced technology research, architectural development, design and strategic engineering of our products. Huawei’s TTE RAMS Lab is a corporate competence center responsible for researching high reliability and high safety architecture as well as technologies for complex intelligent system; Our goal is to provide Huawei products with cutting-edge researches and advanced technical solutions on intelligent reliability and safety for carrier grade ICT and safety critical systems such as autonomous driving so that our products provide our customers with best user experiences and performance. Prevailing integration of intelligence into autonomous agentic platforms like multiple agent systems (MAS), robotics, autonomous driving requires rigorous safety considerations.
Due to inherent deficiencies of current ML techniques such as regressive generative models, safety is still a major challenge for safe-critical intelligent systems, issues such as explainability, robustness and reliability pose obstacles for trustworthy applications. Complexity of changing and often adversarial open environment of the system makes brittleness of today’s ML methods a major safety risk factor. Join us as a Senior Engineer - Reliable Generative AI for Intelligent Agent Safety (m/f/d) Your mission - Investigating state-of-the-art research of reliability for generative AI models and agentic systems with focuses on safety and reliability, identify and formalize detailed challenges and deficiencies of investigated approaches. - Conduct independent research of relevant topics with high technical priorities, publish on top conferences and journals, leading and contributing to the internal/external technical projects. - Work closely with a group of domain experts and researchers from both Huawei teams and academia from external research communities, deliver research results and make impacts. - Conduct collaborations with research institutions such as universities and other partners.
Your areas of expertise - Successfully completed PhD or Master degree in Computer Science, E/E, Mathematics or other relevant engineering majors. Industrial experiences in AI relevant domains would be a plus. - Solid background in mathematics, esp. in linear algebra, statistics/probabilistic theory, and possess in-depth knowledge of the theoretical foundations of machine learning also beyond auto-regression. - Deep understanding and research experiences of current state-of-the-art approaches for AI safety in one or more areas such as computer vision NLP with good record of publications in renowned conferences or journals, - Hand-on experiences with the latest open-sourced agentic platforms, familiar with principles and their pros and cons. - Hand-on experiences in the latest ML methods such as transformer(ViT/Text), uncertainty estimation and robust/reliability evaluations of AI models is a plus. - Experience with foundation models for agentic applications such as vibe coding, robotics, - Excellent programming skills and hands-on experience with main ML frameworks. - Strong programming skill in at least one of the following programming languages: Python, C/C++, Rust, Julia. Proficiency in assisted development with automated code generation is wished. - Experience and knowledge of system safety design would be a plus.
By applying to this position, you agree with our RECRUITMENT PRIVACY STATEMENT. You can read in full our recruitment privacy statement via the link below. Your rewards of working here - Our culture is characterized by innovative power and team spirit as well as the intensive exchange of knowledge and experience within our global network. - We offer healthy meals ranging from traditional Chinese to western delicacies in our famous company canteen. - To keep your development ongoing, you will find a broad range of training opportunities.
Many online and face-to-face training programs incl. language courses in German and Mandarin. - Our diverse and welcoming environment is shaped by different backgrounds and around 40 individual nationalities. - Self-responsible work in a competent, motivated and constantly growing team. Please send your application and CV (incl. cover letter and reference letters) in English. Huawei is a leading global information and communications technology (ICT) solutions provider.
Our ICT solutions, products and services are used in more than 170 countries and regions, serving over one-third of the world s population. With 208,000 employees, Huawei is committed to develop the future information society and build a Better Connected World.
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Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur Originalanzeige128 geprüfte Stellen bei 79 Arbeitgebern, 10 davon ortsunabhängig. 73 in der KI-Entwicklung, 33 in Integration & Automatisierung.