Principal Research Engineer - Data and AI Systems (m/f/d)

Location

München | Germany

Job description

Huawei's Munich Research Center is responsible for advanced technology research, architectural development, design and strategic engineering of our products.

Huawei Cloud , our public cloud platform, is gaining momentum and it is already planet scale and one of the largest and fastest-growing cloud platforms in the world. It has strong presence with over 40 availability zones located across 4 continents and 23 geographical regions, covering locations such as Germany, Hong Kong, South Africa, or Brazil, among others.

Join us as a

Principal Research Engineer – Data and AI Systems (m/f/d)

Your mission

• As a member of our Huawei Cloud R&D team, drive the seeding and development of the next-generation Knowledge Lake in Huawei Cloud
• Be responsible for the research, development, design, testing, and validation of the future Knowledge Lake in the advent of Large-language models (LLMs), embedding-based deep learning (EmbDL), cloud-native vector databases, and cloud-native relational database and big data management systems and their intersection with emerging cloud technologies such as memory fabrics and heterogenous compute units
• Define software requirements and guide the entire prototyping and agile software end-to-end life-cycle, make decisions to realize the key technical solutions, and participate and provide leadership to the team
• Drive the IP and academic cooperation strategy, along with formulating a technology roadmap for a competitive and cutting-edge product portfolio

Your areas of expertise

• BSc/Master in computer science or other related disciplines
• Deep understanding of LLM and EmbDL training and inference, including architecture, requirements of compute, memory, storage, and network, and also system-level deployment knowledge
• Profound understanding of deep learning parallelization techniques (e.g., data, tensor, pipeline) and optimization techniques (e.g., batching, offloading, distillation, quantization, sparsification)
• Deep understanding of vector database, relational database, and big data management systems, including architecture, requirements of compute, memory, storage, and network, and also system-level deployment knowledge
• Experience with deep learning platforms, such as Tensorflow, Pytorch, or ONNX Runtime
• Experienced with GPU kernel programming in the context of deep learning
• Familiar with cloud computing platforms, such as Amazon AWS, Microsoft Azure, or Google Cloud Platform
• Knowledge of cloud storage systems such as Blob Storage (e.g., Amazon S3, Azure Blob Storage), Key-value Storage (e.g., Amazon Dynamo, Google Spanner, Google Bigtable), Caching Storage (e.g., Amazon ElastiCache, Azure Redis Cache), or File-system Storage (e.g., Amazon Elastic File System, Azure Files)
• Familiar with emerging cloud computing technologies such as memory fabrics (e.g., CXL, NVLink) and heterogenous accelerators (e.g., GPUs, TPUs)
• Fluent in written and spoken English

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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.

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