Company Description

About Huawei
Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services – we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world.

At Huawei, innovation focuses on customer needs. We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward. We have more than 180,000 employees, and we operate in more than 170 countries and regions. Founded in 1987, Huawei is a private company fully owned by its employees.

About Huawei Canada
Huawei Canada helps connect Canadians to world-leading high-speed wireless Internet – and supplies them with cutting-edge smart devices. In partnership with Canadian telecommunications providers, we work to bring the benefits of a reliable and secure digital experience to every person, home and organization, including those in rural and remote areas of the country. Huawei first came to Canada in 2008. Today, the company employs more than 1,100 Canadians in research and development, IT, sales and other fields. Huawei Canada is an active supporter of many charitable and community initiatives from coast to coast.

About Huawei HMI (Human-Machine Interaction Lab)

The HMI Lab is the HCI research team of Huawei Technologies with offices in Shenzhen, Toronto, and several other cities. The mission of the Lab is to make significant contributions to both the company and the society through innovations in HCI Technology. Guided by long term goals and big impact projects, researchers in the lab try to advance the state of the art in HCI Technology and its application through broad collaboration within the company and with the global research community at each stage of the innovation process.

HMI Lab is going to cover HCI research areas using multi-modal interaction technologies including gesture, eye tracking, vibration, voice, touch, etc. Application areas supported by the Lab’s research include various terminal products such as smart phone, tablet, TV, smart speaker as well as smart devices in self-driving car.

Job Description

We are seeking for several Research Scientists/Engineers who love to invent and develop new interaction techniques for consumer products that may benefit hundreds of millions of users. Specifically, you will conduct cutting-edge research on Audio/Acoustic engineering. Candidates must be able to work in small, collaborative teams and be willing to help manage projects.

Responsibilities

  • Analyze acoustic sensor data and help debug algorithm and platform issues
  • Help guide the technology from the initial concept stage to fast prototypes of testing and tuning, and to customer use.
  • Analysis and exploration of acoustic sensor data for active and passive systems
  • Development of innovative signal processing algorithms to aid in detection, localization, ranging, AOA, and activity recognition.
  • Publish papers in peer-reviewed scientific journals/conferences.

Qualifications

  • Master/Ph.D. in electrical engineering, computer science, or other disciplines related to signal processing or acoustic/audio engineering.
  • Practical experience with frequency domain digital beamforming algorithms.
  • Experience or coursework in topics such as detection/estimation theory, adaptive filtering, etc.
  • Experience with DSP algorithms, especially in the context of audio. Understanding of Fourier transforms, discrete signals, filter design.
  • Experience with typical acoustic processing tasks, such as noise reduction, acoustic echo cancellation, gain control, microphone arrays, beamforming, or source separation.
  • Strong programming proficiency in Java, C++, Python, and other relevant programming language.

Nice-to-Haves:

  • Experience with acoustic signal processing on Smart Phone, Smart Speakers.
  • Experience in Sonar and/or Radar systems
  • Experience with Android development.
  • Experience with Machine Learning.

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

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