
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 /reinforcement learning/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.
http://career.huawei.com/reccampportal/portal/hrd/weu_rec_all.html
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. Driven by a commitment to operations, ongoing innovation, and open collaboration, we have established a competitive ICT portfolio of end-to-end solutions in Telecom and enterprise networks, Devices and Cloud technology and services. 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 197,000 employees, Huawei is committed to develop the future information society and build a Better Connected World.

Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services – we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world.
Huawei's end-to-end portfolio of products, solutions and services are both competitive and secure. Through open collaboration with ecosystem partners, we create lasting value for our customers, working to empower people, enrich home life, and inspire innovation in organizations of all shapes and sizes.
At Huawei, innovation focuses on customer needs. We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward. We have more than 207,000 employees, and we operate in more than 170 countries and regions. Founded in 1987, Huawei is a private company fully owned by its employees.
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