# Researcher - Supercharging Converter at Huawei Technologies Canada Co., Ltd.

> Onsite · Canada · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/recruitee%3Ahuaweicanada%3A2717577 (read 2026-11-09).

## Facts (observed)

- Company: [Huawei Technologies Canada Co., Ltd.](https://alderhq.app/companies/huawei-technologies-canada-co-ltd)
- Location text: Montréal, Quebec, Canada
- Where it can be done from (inferred): Onsite · Canada (evidence: "Location: Montréal, Quebec, Canada")
- Posted: 2026-08-21 (79 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://huaweicanada.recruitee.com/o/researcher-supercharging-converter-3

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Montreal, n 12): p25 CAD 108k, median CAD 128k, p75 CAD 150k

## Description (the employer's text)

Huawei Canada has an immediate 12-month contract opening for a Power System Analyst.

### About the team

The Smart Grid Technology Lab focuses on research in real-time simulation technologies, microgrid energy management, control systems, and other smart grid technologies. We apply cutting-edge technologies to the digital power industry. The lab has developed into a research organization with significant achievements and a strong impact in the industry.

### About the job

Develop and optimize high-efficiency Supercharging Converter systems used in Electric Vehicle charging infrastructure, ensuring performance and high reliability.

Create technical specifications and detailed schematics for Supercharging Converter designs.

Collaborate closely with cross-functional teams, including hardware, software, and mechanical engineers, to ensure seamless integration and operation of Supercharging Converter systems.

Stay up-to-date with emerging technologies in power conversion, battery charging, and renewable energy systems.

Participate in industry conferences and seminars to advance knowledge in supercharging technologies.

Identify and define technical research directions and topics with the potential to significantly impact the industry and our company's mid-to-long-term business goals.

### Requirements

### About the ideal candidate

Ph.D. in Electrical Engineering, Computer Science/Engineering, or a related field, with a strong publication record.

Familiarity with embedded systems and firmware development used for power control.

Proficiency with circuit design and simulation tools (e.g., MATLAB, PSpice, Simulink, and LTspice).

Strong knowledge of Electric Vehicle charging standards (e.g., CCS and CHAdeMO), and supercharging technology.

Strong international technological foresight with the ability to analyze and make decisions on cutting-edge technology trends, fostering industry-leading competitiveness.

Proven experience in leading new technology development programs and driving innovation.

### Additional Information

Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know, and we will work with you to meet your needs.

All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.

Huawei aims to support a French-speaking work environment for its employees in Quebec. We have taken steps to avoid requiring a language other than French for this position. However, proficiency in English is essential for this role for the following reasons:

The person will be required to communicate regularly with colleagues located outside Quebec, where English is the primary language used for communication between offices. In addition, the nature of the tasks related to this position, which falls within a highly specialized field of artificial intelligence, also requires knowledge of English.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/recruitee%3Ahuaweicanada%3A2717577 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.