CPU/DSP Research Engineer
Ottawa, ON, Canada
Huawei Technologies Canada Co., Ltd.
Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices.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.
Job Description
Research on a new innovative hardware architecture framework for the next-generation wireless networks.
Develop and customize tools to compile and run applications and benchmark on a hardware implementation (and/or model).
Analyze the performance, identify performance bottlenecks and propose design changes to improve quality of results
Qualifications
Background in computer architecture and hardware component (CPU, DSP, custom hardware accelerator, cache memory, …) is desired
Experience with hardware programming language (Verilog, system verilog, VHDL, High-level synthesis (HLS)) and simulation tools is a definitive asset
Experience with the RISC-V development environment would be an asset
Tags: Architecture Autonomous Driving R R&D Research
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