AI Engineer Intern (AI Accelerator / Chip Design)

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

- Working on optimizing AI accelerators (GPU, TPU, NPU, etc.)
- Implement and integrate algorithms/solutions for the proposed methods and models.
- Evaluate algorithms on internal and public test domains
- Keeping up-to-date on recent advances in related fields

Qualifications

- Currently enrolled at university in Ph.D. or MS program in computer science, computer engineering, or related fields
- Familiarity with some of the popular deep learning architectures
- Knowledge of AI accelerator design or software-hardware co-design 
- Strong system development skills, such as Python, C/C++
- Excellent communication skills, self-motivated, with creative thinking and attention to details

Preferred Qualifications
- Specialized research or industrial experiences in AI systems, accelerator hardware or software design 
- Experiences with machine learning compilers such as XLA, GLOW, TIRAMISU, TVM, MLIR, MAESTRO, TIMELOOP, HALIDE, etc
- Hands-on experience in software-hardware co-design for AI accelerators
- Experience with coding in PyTorch, TensorFlow, or other frameworks

Additional Information

We thank all applicants for their interest in career opportunities with Huawei. Only selected candidates will be contacted for an interview.