Job Description

Company Description

About Huawei

With 194,000 employees and operating in more than 170 countries and regions, Huawei is a leading global creator and provider of information and communications technology (ICT) infrastructure and smart devices. Integrated solutions span across four key domains - telecom networks, IT, smart devices, and cloud services. Huawei is committed to bringing digital to every person, home and organization for a fully connected, intelligent world.

About Huawei Canada

Huawei Canada focuses on fundamental research and development aimed at solving complex technical problems in emerging technologies like 5G, AI, Human Computer Interaction and Autonomous Driving. With ongoing research initiatives with 10 Universities across Canada and strategic collaboration agreements with several Universities, we support Canada's rich research community. In 2020, Huawei Canada ranked among the Top 20 corporate R&D investors in the country with a huge 40% increase in R&D investment year over year. Huawei Canada was established in 2008 and now has a total workforce of 1,200 in our six research centers across Canada.

Why work with Huawei Canada?

You will have the opportunity to work on real world problems that impact people across the globe. Many of our researchers are actively involved in publishing conference and journal papers, inventing patents and solving challenging technical problems. With cutting edge tools, access to highly specialized leaders and researchers, and significant funding, you will be well supported to fulfil your potential and pursue your professional dreams.



1. Computational storage innovation, involve the new technologies/standard/scenarios. Computational storage architecture roadmap with industry emerging standard and hardware etc.

2. Lead team to deliver the demo of computational storage. From concept/design to implementation etc.

3. Computational storage ecosystem construction, from application/API/hardware to multiple new storage media and chipset

4. C-level customer technology management, align the NA requirements, transform their RM to product features.

5. Roll out computational storage challenge topics, lead academic community to do more research on that

Qualifications

1. 20+ Years' experience on storage architecture design, especially on computational storage or new storage architecture, such as base on SCM/Ferroelectric etc.

2. Expertise on storage data path services and DPU offload storage path

3. Deep understanding emerging scenario requirements and system data management challenges, roll out new data storage system to satisfy those new requirements, such as self-driving/IoT/edge/Cloud.

4. In-depth knowledge of system-level software engineering: UNIX /Linux kernel development and debugging, computer architectures (x86, MIPS), embedded systems, distributed systems

5. Ability to work exceptionally effectively individually and multi-Zone/multi-Site team