Jobs at Huawei Canada

Research and develop advanced networking technologies and protocols for AI infrastructure, cloud, and data-center networks. The role involves designing technical roadmaps, optimizing network performance, addressing distributed systems challenges, and deploying innovations involving RDMA, routing, congestion control, topology design, and resource allocation. The researcher will also collaborate with academic and industry professionals and connect technical research with product strategies.

Research and develop an open-source agent framework, including architecture, abstractions, tooling, developer experience, self-evolution, and multi-agent collaboration. Analyze emerging agent projects such as OpenClaw and Hermes, integrate effective innovations, and deploy the framework in business and consumer products. Gather developer and product feedback to improve the framework. The role requires Python expertise, LLM knowledge, and familiarity with agent frameworks.

Manage end-to-end real estate project delivery, including leasing, design, implementation, completion, and acceptance. Establish project teams, coordinate suppliers and resources, control schedules, budgets, risks, quality, and customer requirements, and escalate major issues. The role requires experience managing large-scale engineering or construction projects, knowledge of civil, electromechanical, and decoration work, familiarity with contracts and procurement, and project management certification.

Lead research for AI-native data platforms, including vector data lakes, intelligent caching, RAG retrieval, agent memory, knowledge bases, indexing, hybrid search, and context freshness. Design prototypes, publish at leading venues, secure patents, collaborate with product and engineering teams, represent the organization externally, and mentor researchers and PhD interns.

Manages end-to-end technical recruiting, including sourcing niche talent, talent mapping, interviewing, compensation negotiations, offers, documentation, and hiring approvals. Partners with hiring managers, supports recruitment initiatives and career events, and participates in high-volume co-op hiring cycles. Requires technology-sector recruiting experience, interest in AI, strong communication, relationship-building, organization, and the ability to manage multiple vacancies independently.

Conduct research on AI agents, LLMs, VLMs, code generation, and multimodal AI. Develop GUI, coding, web, mobile, and computer-use agents; create training pipelines, datasets, benchmarks, and evaluation frameworks; and investigate supervised fine-tuning, reinforcement learning, tool use, and function calling. Analyze experiments, publish findings, collaborate with engineering and product teams, and translate research prototypes into practical technologies.

Build prototypes for multimodal AI and human-machine interaction on real devices. Integrate speech, vision, language, and multimodal models; implement interactions combining voice, touch, gesture, motion, and sensor inputs; and evaluate on-device versus cloud AI trade-offs. Collaborate with researchers and designers, iterate based on experiments, debug implementations, and use ML frameworks for inference, fine-tuning, and evaluation.

Lead research in computer vision, spatial perception, and human-centered AI. Develop real-time 2D/3D vision, tracking, gesture recognition, compact model, and agentic AI systems. Integrate foundation models with efficient perception pipelines, optimize for hardware constraints, establish datasets and evaluation metrics, build prototypes, support product integration, and mentor researchers and engineers.

Develop state-of-the-art artificial intelligence and computer vision algorithms for publication and integration into Huawei products. Design and implement real-world AI/CV solutions, collaborate with research scientists and engineers, and supervise interns. The role focuses on video generation, 3D computer vision, machine learning, and rapid research prototyping.

Assist with creating and deploying networking solutions for AI and cloud infrastructure. Analyze industry trends and technical challenges, contribute to strategic roadmaps, and collaborate with academic and industry professionals. The role focuses on AI infrastructure, HPC and data-center networking, including RDMA, protocol optimization, traffic engineering, congestion control, topology design, resource allocation, networking architectures, software architecture, and distributed systems.

Design and develop core openJiuwen AI Agent Platform capabilities, including agent frameworks, workflows, tool calling, MCP, and multi-agent collaboration. Build AI agents for coding, research, data, and software engineering use cases. Contribute to JiuwenSwarm and open-source projects through feature development, issue resolution, documentation, examples, and community collaboration while exploring LLMs, memory, planning, evaluation, and agentic systems.

Conduct frontier research on data-efficient agentic AI, including model architectures, meta-learning, test-time adaptation, and reinforcement learning. Train deep learning models at scale, deploy agentic pipelines, design experiments and evaluations, analyze results, communicate findings, participate in brainstorming, support academic papers and technical reports, and stay current with machine learning publications.

Conduct research and design AI data-security and privacy architectures for endpoint devices. Prototype and build privacy-preserving defenses, analyze emerging attack vectors and regulations, and collaborate with global labs and product teams to transition research into production-grade endpoint security solutions.

Conduct research and design AI data security and privacy architectures for endpoint devices. Prototype and transition privacy-preserving solutions into product-grade defenses, analyze emerging threats and regulations, and collaborate with global research and engineering teams to integrate secure AI technologies into Huawei endpoint products.

Research and analyze state-of-the-art AI model architectures and training/inference workloads; map workloads to hardware requirements; develop performance models and deployment strategies; profile hardware/software, evaluate algorithm-hardware tradeoffs, and provide quantitative recommendations for next-generation AI accelerators.

The Co-op Engineer will analyze source code, implement new features on demo apps for Android or HarmonyOS, and deploy AI models on Huawei devices, collaborating across teams.

The Project Specialist will assist the project manager in maximizing productivity, organizing schedules, reporting updates, and completing administrative tasks, ensuring quality support for Huawei Canada's projects.

The Principal Engineer will architect frameworks for serverless computing, innovate vector database storage engines, and advance vector indexing and retrieval technologies.

Conduct fundamental research in video generation, video editing, and 3D computer vision. Develop state-of-the-art AI and computer vision algorithms, create research prototypes, solve real-world problems, publish in leading conferences, integrate innovations into Huawei products, and supervise interns within collaborative R&D projects.

Conduct research and development in computer vision, deep learning, LLMs, and VLMs. Develop image and video understanding or synthesis systems, multimodal reasoning and agentic applications, and optimize models for mobile computing constraints. Responsibilities include prompt engineering, model adaptation, fine-tuning, evaluation, and reinforcement-learning-based post-training. The role also involves academic research and applying machine learning techniques to real-world problems.