AI Systems Engineer

Huawei Heisenberg Research Center (Munich) is responsible for advanced technology research, architectural development, design and strategic engineering of our products. Huawei's Dresden Research Center (DRC)'s mission is to explore programming models, operating system and virtualization technologies on multicore heterogeneous architectures and NVM/SCM platforms, aiming to provide a high-performance, reliable abstraction layer for efficient resource utilization. DRC focuses its technical research in the key areas of Smart Mobile, Telecom, Autonomous Driving, Internet of Things, and Industry 4.0. Join us as an AI Systems Engineer (m/f/d) to bring intelligent agents to life on real-world devices. You'll work on squeezing every ounce of performance out of modern mobile hardware, optimizing deep learning models for low-latency, battery-friendly inference. If "running AI inferences on edge" makes your eyes sparkle, this one's for you. Your mission Deliver efficient, on-device AI inference by optimizing machine learning models for mobile and resource-constrained platforms-enabling fast, reliable, and privacy-preserving user experiences. Engineer performance-critical systems that balance power consumption, latency, and accuracy across various hardware targets such as ARM CPUs, mobile GPUs, and NPUs. Collaborate closely with AI and Systems engineers to translate cutting-edge model architectures into production-ready implementations. Build robust deployment pipelines using tools like TensorFlow Lite or custom runtimes to ensure scalable delivery and monitoring of edge AI workloads. Champion edge-first intelligence by designing solutions that reduce cloud dependency, improve responsiveness, and enhance user data privacy. Your areas of expertise

BSc/Master or PhD in Computer Science or other related disciplines Machine learning engineering - Strong foundations in ML workflows, model evaluation, and integration of inference pipelines into production apps. Mobile AI deployment - Experience with deploying machine learning models on mobile platforms. Low-level performance tuning - Familiarity with ARM architecture, mobile GPUs/NPUs, and efficient use of hardware acceleration. Experimentation & benchmarking - Comfortable with profiling tools, A/B testing, and performance monitoring on-device to ensure optimal runtime behavior. Model optimization - Things like pruning, quantization, or distillation can really help on-device AI shine. If you've played with these or are excited to learn, that's a plus. Fluent in written and spoken English

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 197,000 employees, Huawei is committed to develop the future information society and build a Better Connected World. Department OS Kernel (Hilbert Research Center) Locations Huawei Hilbert Research Center (Dresden) Huawei Hilbert Research Center (Dresden) About Huawei Research Center Germany Huawei's vision is to enrich life through communication. We are a fast growing and leading global information and communications technology (ICT) solutions provider. Huawei is active in more than 170 countries and has over 197,000 employees of which more than 80,000 are engaged in research and development (R&D). With us you have the opportunity to work in a dynamic, multinational environment with more than 150 nationalities worldwide. careersite--jobs--form-overlay#showFormOverlay">