Jobs at Huawei Canada

The role involves building external technology networks, identifying key industry trends, organizing technical events, and converting insights into collaboration opportunities.

Lead human-computer interaction and human-AI research focused on agentic AI and multimodal interfaces. Design mixed-method studies, prototypes, and evaluation rubrics; translate findings into product requirements, interaction models, and roadmaps. Collaborate with AI researchers, engineers, designers, and PMs to validate and iterate conversational agents, copilots, cross-device workflows, and accessibility/privacy-sensitive practices.

Conduct research and engineering on VFX and procedural shape/texture/VFX generation, develop AI/CG prototypes, transfer solutions into Huawei products, and publish findings as papers or patents.

Design and develop AI tools for smart grid applications, integrate ML models into software, and optimize system performance.

Lead end-to-end product experience design for AI-powered, multimodal interactions. Translate research into product scenarios, create wireframes and high-fidelity prototypes, specify interactions, and collaborate with researchers and engineers to validate and move concepts toward product implementation.

Develop and deploy deep learning models across vision, language, audio, and multimodal domains; build end-to-end workflows from data curation to on-device or cloud deployment; prototype and integrate generative and foundation-model research into product features; collaborate cross-functionally and publish or patent innovations.

Lead HCI and human-AI interaction research to inform next-generation intelligent products. Design and run mixed-method studies (qualitative and quantitative) across multimodal interfaces and devices, prototype human-AI workflows, evaluate trust, control, and AI quality metrics, and translate findings into product requirements, interaction models, and publications or patents while collaborating with engineers, designers, and product managers.

Manage end-to-end recruitment for Huawei Canada, focusing on sourcing candidates for technical roles and negotiating offers while collaborating with hiring managers.

Conduct independent research in speech and acoustic AI: design algorithms, perform literature review and data analysis, publish in top conferences, collaborate with cross-functional teams, present findings, and identify opportunities to apply research to Huawei products.

The role focuses on identifying collaboration opportunities with academic organizations, managing academic collaborations, and enhancing Huawei's influence in the academic community.

The role involves optimizing AI training and inference systems, focusing on low-precision training, reinforcement learning, and developing software frameworks for AI accelerators to enhance performance and scalability.

Perform technical research and evaluations of RAN/5G/6G topics (AI RAN, O-RAN, hardware), drive POCs, assess open-source RAN software, and present findings to product software teams.

This role involves optimizing AI systems for large model training and inference, focusing on performance, efficiency, and usability using low-precision training and reinforcement learning techniques.

Develop proof-of-concept systems and product components for AI-native cloud infrastructure. Design data structures and algorithms for distributed resource scheduling, capacity optimization, and workload placement. Enhance data systems for public cloud capacity management and scheduling, collaborating with architects and engineers on distributed systems and LLM/Agent infrastructure.

Join a research-focused team to integrate AI (LLMs and autonomous agents) into mobile platform development. Build AI-driven code generation and agentic systems, design core mobile components, and collaborate across teams to deploy AI-enhanced developer tooling and monitoring for HarmonyOS and large-scale mobile ecosystems.

The role involves designing AI infrastructure, optimizing systems for AI workloads, and collaborating with product teams on innovative cloud solutions.

Assist in developing and optimizing foundation models, improve training efficiency, and support distributed training and inference systems while collaborating with cross-functional teams.

Manage regional data center and IT infrastructure implementation, maintenance, and operations. Maintain servers, networks, storage, databases, and web applications. Handle incidents/changes, enforce IT standards and policies, analyze business requirements, run IT projects, and manage vendor quotation, bidding, negotiation, and engineering supervision.

Conduct AI/ML literature and technology trend research, produce technology reports, evaluate and recommend cutting-edge AI/ML methods, collaborate with cross-functional teams to plan and implement AI projects, and promote innovation and continuous improvement within the AI/ML team.

The role involves designing, developing, and testing software for compilers, optimizing performance, and participating in project planning.