Machine Learning Engineer

Markham, ON, Canada

Applications have closed

Huawei Technologies Canada Co., Ltd.

Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices.

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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.

 

About Noah’s Ark Lab:

The Noah’s Ark Lab is the AI research division for Huawei Technologies, with offices in Hong Kong, Shenzhen, Beijing, Shanghai, Xi’an, London, Paris, Toronto, Montreal, and Edmonton. As a world class research lab, we dare to address the most fundamental challenges in AI so as to revolutionize the ways in which people work and live, and the ways in which companies do business for the better. Founded in 2012, the lab has now grown to cover all major areas of contemporary AI research. We welcome talented researchers, engineers and students to join us to realize our shared AI dreams.

Job Description

• Explore suitable machine learning algorithms to assist automated IC design (ex. Chip placement & Routing phases)

• Work with the deep learning team to develop an optimized software solution for automated integrated circuit (IC) design

• Design and test IC benchmarks (from netlist to routed design) using open-source frameworks

• Identify and implement optimal algorithms for automated IC design

• Writing scientific reports;

Qualifications

• Master’s or PhD degree in computer science/ electrical/computer engineering or related field

• Experience building Deep Learning / Machine Learning applications using Python and deep learning libraries such as PyTorch or TensorFlow

• Understanding of deep learning concepts & foundations

• Understanding of the IC design flow with a focus on Placement & Routing

• Knowledge of machine learning applications for automated IC optimization a valuable asset

• Experience using EDA tools for digital circuit design (Cadence, Synopsys, etc) a valuable asset

Additional Information

Huawei Canada is committed to providing valuable opportunities to both undergraduate and graduate students.

Working with us provides you the opportunities to integrate theoretical knowledge with practical skills, to network with world leading professionals, and most importantly, to experience the cutting-edge technology before everyone else.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Autonomous Driving Circuit Design Computer Science Deep Learning EDA Engineering Machine Learning PhD Python PyTorch R R&D Research TensorFlow

Perks/benefits: Career development

Region: North America
Country: Canada
Job stats:  18  2  0

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