Intern - AI Systems Research at Huawei Technologies Co. Ltd. - Germany

Dresden, Saxony, Germany -

Full Time

Start Date

Immediate

Expiry Date

18 May, 26

Salary

0.0

Posted On

17 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C, C++, Python, System Software, Compilers, Neural Network Architectures, Transformers, CNN, Communication Skills, Deep Learning Models, Inference Optimization, Distributed Computing, Hardware Acceleration

Industry

Telecommunications

Description

Huawei's Munich Research Center is responsible for advanced technology research, architectural development, design and strategic engineering of our products. Huawei’s Dresden Hilbert 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 Intern in AI Systems Research (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 Contribute to the development of scalable and efficient AI systems through hands-on research and experimentation. Explore novel architectures, optimization techniques, and system-level innovations that push the boundaries of current AI capabilities. Deepen understanding of the intersection between machine learning and systems engineering, including distributed computing, model deployment, and hardware acceleration. Collaborate with researchers and engineers to translate theoretical insights into practical solutions for real-world AI challenges. Grow as a researcher by engaging with state-of-the-art tools, frameworks, and methodologies in AI systems. Your areas of expertise Working towards a Bachelor's or Master's Degree in Computer Science or in a similar field. Fluency in one of the programming languages: C, C++, Python. Good understanding of system software. Experience with compilers. Basic understanding of neural network architectures (e.g., transformers, CNN). Excellent communication skills and the ability to work in multicultural and distributed teams. Fluent in written and spoken English. By applying to this position, you agree with our Recruitment Privacy Statement. You can read in full our privacy policy here. 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.

Responsibilities

The intern will contribute to developing scalable and efficient AI systems through hands-on research, focusing on optimizing deep learning models for low-latency, battery-friendly inference on modern mobile hardware. This involves exploring novel architectures, optimization techniques, and system-level innovations to advance current AI capabilities.