Huawei Canada is a leading innovator in ICT, specializing in 5G technologies and smart devices, with extensive R&D facilities across multiple cities.
Markham, Ontario
Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. We have approximately 197,000 employees and we operate in over 170 countries and regions, serving more than three billion people around the world. In Canada, Huawei conducts innovative and leading edge research in 5G technologies, along with advanced development of emerging cloud, device and network technologies & services. While our renowned Canada Research Centre in the thriving technology landscape of Ottawa, Ontario continues to grow rapidly in size and strategic product initiatives, additional presence has also been established across Canada with R&D facilities in Vancouver, Edmonton, Waterloo, Markham, Montreal, and a R&D office in Quebec City. Fondée en 1987, Huawei est un fournisseur mondial leader d'infrastructures de technologies de l'information et de la communication (TIC) et de dispositifs intelligents. Nous nous engageons à apporter le numérique à chaque personne, foyer et organisation pour un monde entièrement connecté et intelligent. Nous comptons environ 197 000 employés et opérons dans plus de 170 pays et régions, desservant plus de trois milliards de personnes à travers le monde. Au Canada, Huawei mène des recherches innovantes et de pointe dans les technologies 5G, ainsi que le développement avancé des technologies et services émergents dans les domaines du cloud, des appareils et des réseaux. Alors que notre célèbre Centre de recherche Canada, situé dans le paysage technologique dynamique d'Ottawa, en Ontario, continue de croître rapidement en taille et en initiatives stratégiques de produits, une présence supplémentaire a également été établie à travers le Canada avec des installations de R&D à Vancouver, Edmonton, Waterloo, Markham, Montréal, et un bureau de R&D à Québec.
On-site · Markham
The researcher will investigate how state-of-the-art web agents interact with real-world websites to identify reliability gaps and capability ceilings. They will also prototype new architectures and interaction models to bridge web capabilities with AI-driven agents.
On-site · Ottawa
The engineer will focus on the design and simulation of Intensity-Modulated Direct-Detection (IMDD) transmission systems over Hollow-Core Fiber. Responsibilities include modeling end-to-end non-coherent optical systems and exploring signaling methods to optimize link performance.
On-site · Markham
Manage the end-to-end delivery of real estate projects, including lease involvement, design, implementation, and completion. Ensure projects meet quality standards, stay within budget, and maintain effective communication with customers and stakeholders.
On-site · Markham
Define and drive the long-term research agenda for AI-native data platforms, including vector-native data lakes and high-performance retrieval infrastructures. Lead the design of next-generation architectures and collaborate with engineering teams to translate research into production-ready systems.
On-site · Ottawa
The engineer will conduct research on innovative physical layer technologies for 5G, 6G, and beyond, including system-level design, modeling, and prototyping. They will also drive the implementation of radio algorithms and support standardization efforts in organizations like 3GPP and IEEE.
On-site · Markham
Manage the end-to-end recruitment process, including sourcing, interviewing, and negotiating compensation for technical roles. Collaborate with hiring managers to ensure timely hiring decisions and maintain accurate candidate documentation.
On-site · Ottawa
The engineer will develop advanced 6G RF packaging solutions, including 2.5D/3D integration, embedded shielding, and localized cooling for high-power arrays. They will also perform full-wave EM simulations and coordinate system-level performance evaluations using VNA and thermal measurements.
On-site · Montréal
The researcher will develop state-of-the-art approaches for Physical AI and Embodied AI by bridging research with production-ready code. They will design and execute experiments on robotic platforms while collaborating with cross-functional teams to integrate models into real-world applications.
On-site · Markham
Conduct research on AI agents, LLMs, and multimodal systems to develop practical prototypes and evaluation frameworks. Collaborate with engineering teams to translate research innovations into product-ready technologies.
On-site · Markham
Define and advance research directions in computer vision, spatial perception, and human-centered AI. Develop and optimize efficient algorithms and real-time vision systems for product integration.
On-site · Markham
Develop and prototype multimodal AI interactions for various devices by integrating sensing, algorithms, and system logic. Collaborate with researchers and designers to iterate on human-AI interfaces based on experimental results and performance metrics.
On-site · Markham
You will invent state-of-the-art AI and computer vision algorithms for publication and integrate these solutions into real-world Huawei products. Additionally, you will supervise intern students in various research and development projects.
On-site · Markham
Assist in the creation and deployment of next-generation networking solutions for global AI and cloud infrastructure. Analyze industry trends and company strategies to identify core technical challenges and bridge the gap between research and business needs.
On-site · Ottawa
The engineer will design, model, and simulate compact antennas and RF front-ends for sub-6 GHz and mmWave applications. They will also be responsible for prototyping on-site using 3D printing equipment and validating designs through measurement and DFM processes.
On-site · Markham
The researcher will develop data-efficient AI agents, conduct large-scale deep learning training runs, and design experiments to evaluate new ideas. They will also collaborate with a team to write academic papers and technical reports while staying current with ML publications.
On-site · Edmonton
Conduct research in hardware-aware neural network optimization and develop efficient inference techniques for edge devices. Collaborate with cross-functional teams to transition research prototypes into production and mentor junior staff.
On-site · Edmonton
Research and prototype next-generation GPU, AI, and hardware architectures while designing AI compute platforms and toolchains. Profile and optimize performance across the stack, collaborating with hardware, software, and algorithm teams to drive product innovation.
On-site · Ottawa
The intern will design and simulate IMDD transmission systems over hollow-core fiber for data center interconnect networks. Responsibilities include modeling end-to-end non-coherent optical systems and analyzing the impact of gas absorption and high launch power on performance.
On-site · Markham
Participate in embodied AI research projects and implement algorithms for proposed models and applications. Deploy models into internal products and produce insight and technical reports.
On-site · Montréal
Develop and implement grid integration technologies, control strategies, and protection algorithms for power systems and microgrids. Optimize simulation models for real-time performance and deploy communication protocols within a research-focused team.
