Intern - Big Memory Services (m/f/d)
Huawei Technologies, Germany
Job Description
Huawei is a leading global information and communications technology (ICT) solutions provider. Through our constant dedication to customer-centric innovation and strong partnerships, we have established leading end-to-end capabilities and strengths across the carrier networks, enterprise, consumer, and cloud computing fields. Our products and solutions have been deployed in over 170 countries serving more than one third of the world’s population.
Huawei's Munich Research Center is responsible for advanced technology research, architectural development, design and strategic engineering of our products. The size of our cloud platform is gaining momentum and it is already planet scale. Huawei Cloud is one of the largest and fastest-growing 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.
For our fast growing Intelligent Cloud Technology Laboratory we are now looking for an
Intern Big Memory Services (m/f/d)
Responsibilities:
- As a member of our Huawei Cloud team support the definition of the software architecture, design, and implementation of the next-generation of cloud platforms and services
- Help with the redesign of the architecture, design, and implementation of emerging cloud memory services in the advent of non-volatile memory and cutting-edge networks
- Rapid prototyping of innovative features using cloud memory services (e.g., Amazon ElastiCache, Azure Cache), Big Data (e.g., Spark, Hive, Presto) and deep learning frameworks (e.g., Keras/Tensorflow, PyTorch), and cloud computing platforms (e.g., AWS, Openstack)
- Interact and shape cooperation with leading academic and industry partners
Requirements
- BSc/MSc in computer science or other domain-related disciplines
- Experience with one of the following cloud computing platforms Amazon AWS, Microsoft Azure, Google GCP, and OpenStack
- Familiarity with cloud cache technologies Amazon ElastiCache, Azure Cache, Alibaba ApsaraDB for Redis, RAMCloud, Redis, Memcached
- Familiarity of fast network technologies IB, RoCE and remote-memory technologies RDMA
- Familiarity with non-volatile main memory technologies Intel-Micron 3DXPoint
- Familiarity with CAP theory, BASE theory, key-value stores, relational databases, NoSQL databases, graph databases, big data frameworks, distributed machine learning frameworks, and distributed cluster-computing frameworks
- Excellent interpersonal skills, team-work spirit, and cross-domain leadership
- Fluent in written and spoken English
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.
https://career.huawei.com/reccampportal/portal5/grcprivacy.html
What you can expect
- 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 you a competitive compensation package and a broad range of training opportunities. Many online and face-to-face training programs.
- Self-responsible work in a competent, motivated and constantly growing team.
If you are enthusiastic in shaping Huawei’s Munich Research Center together with a multicultural team of highly skilled Engineers and Researchers, feel free to contact us. Driving future technologies focused on the customer experience is our main mission. Apply now!
Please send your application and CV (incl. cover letter and reference letters) in English.