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.

Research and develop physical-layer technologies for 5G, 6G, and future wireless systems. Responsibilities include designing and simulating radio algorithms, modeling and prototyping wireless subsystems, guiding hardware and software implementation, evaluating emerging technologies, supporting 3GPP and IEEE standardization, and generating invention disclosures and patent applications.

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.

Develops advanced 6G RF packaging technologies, including 2.5D/3D integration, wafer-level packaging, die-to-die interfaces, shielding, cooling, and RF structures. Performs full-wave EM and circuit simulations, designs package transitions and antenna feeds, and coordinates VNA, thermal, and OTA measurements. The role also involves test vehicle design, microelectronics assembly, cross-disciplinary research, patents, technical publications, and collaboration with RFIC, antenna, materials, and manufacturing specialists.

Conduct research in Physical AI, Embodied AI, and Spatial AI, developing robotic foundation models, world models, multimodal systems, planning, reasoning, imitation learning, reinforcement learning, and control methods. Translate research into production-ready code, run experiments in simulation and on real robots, collect and analyze data, collaborate with infrastructure and robotics teams, and contribute to patents and publications at leading AI and robotics venues.

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.

Design and simulate compact antennas, MIMO and array structures, and RF front-ends for sub-6 GHz and mmWave applications. Develop additive-manufactured RF geometries, automate electromagnetic simulation and optimization workflows with Python and MATLAB, fabricate prototypes, and characterize performance using VNAs and anechoic chambers. Advance concepts toward high-volume production through design-for-manufacturing analysis, including material reliability, thermal performance, yield, and integration into consumer product enclosures.

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.

Develop and research next-generation real-time operating system technologies for embedded, cloud, virtualized, and automotive platforms. Address scheduling, resource allocation, system isolation, inter-process communication, concurrency, and performance challenges. Build tooling and system-level solutions while applying CPU architecture knowledge and real-time OS design expertise. The role also requires researching complex topics, creating technical designs, and documenting and presenting solutions to technical and non-technical audiences.

Research and develop hardware-aware ML optimization techniques for edge devices, including quantization, pruning, efficient architectures, compiler and runtime optimization, and heterogeneous CPU/GPU/NPU deployment. Profile real-device performance, energy, memory, and latency; build benchmarking and regression infrastructure; optimize LLM/VLM inference; publish findings and patents; collaborate with product, platform, and hardware teams; and mentor junior researchers while shaping the technical roadmap.

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 simulations for next-generation IMDD optical transmission systems over hollow-core fiber. Model end-to-end non-coherent optical systems and fiber gas absorption, develop signaling and equalization methods to address channel fading, and evaluate high-launch-power effects on system reach and performance. Collaborate within an advanced optical communications R&D team.

Research and prototype GPU, AI, and heterogeneous hardware architectures; build AI training, fine-tuning, deployment, evaluation, and agent toolchains; optimize CPU, GPU, and AI workloads from architecture through kernels and shaders; and collaborate across hardware, software, algorithms, product, and game teams to validate innovations.