Job Description

Company 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.

• Design and build prototypes, proof of concepts and demos of Deep Learning applications
• Develop and optimize performance-critical Deep Learning applications

Qualifications

• Bachelor's degree or Master degree on Computer Science, Computer Engineer and Mathematics
• Minimum 1 year of experience working either in industry or equivalent co-op experience
• Strong knowledge of C/C++ programming concepts with a focus on parallel programming
• Experience developing applications targeting ARM architectures (ARM Neon SIMD programming an asset)
• Experience optimizing performance-critical applications
• Knowledge of Deep Learning / Machine Learning
• Demonstrated ability to build Deep Learning / Machine Learning applications using C/C++
• Knowledge of GPU and/or DSP programming for mobile devices would be a plus
• Experience with Python programming or Deep Learning frameworks such TensorFlow, PyTorch an asset

Additional Information

We thank all applicants for their interest, however only those candidates selected for interviews will be contacted.