Senior Principal Architect - Window System

Huawei Canada is excited to announce a permanent opportunity for a Senior Principal Researcher!About Our Team:At the Human-Machine Interaction Lab, we bring together top global talent to revolutionize the interaction between humanity and technology. Our focus on innovation and user-centric design strives to elevate human-computer interaction research. Our multidisciplinary team of researchers, engineers, and designers collaborates to create groundbreaking interactive systems, sensing technologies, wearable devices, IoT systems, and multimodal interfaces. We are committed to delivering impactful products and pioneering research aimed at enhancing user experiences with technology.Position Overview:Lead the development and execution of a comprehensive vision for next-generation AI agent-focused multimodal interaction systems, defining agent capabilities in perception, reasoning, and action through diverse signals (voice, vision, touch, context).Craft interaction models that prioritize agent autonomy and collaboration, shifting away from traditional GUI/VUI to intent-driven, context-aware interactions.Oversee the design of cohesive multimodal experiences across various platforms (mobile, automotive, wearables, smart environments), ensuring consistency and adaptability.Direct the integration of advanced multimodal foundation models (such as VLM and multimodal LLMs) into practical interaction systems.Rapidly iterate from concept to deployable solutions, assessing usability, latency, feedback loops, and real-world performance prior to launch.Identify and capitalize on opportunities to unify interaction frameworks across modalities, minimizing fragmentation among voice, visual, and physical interfaces.Drive holistic experience design, encompassing perception, reasoning, response, and user feedback rather than focusing solely on isolated component enhancements.Remain knowledgeable about emerging industry trends (e.g., AI agents, multimodal interfaces) and integrate them into our research and development processes.

Join Huawei Canada as a Senior Principal Software Engineer!About Our Team:The Distributed Scheduling and Data Engine Lab, established in 2014, serves as Huawei Cloud's innovation hub in Canada. We specialize in pioneering advanced cloud technologies, facilitating the productization and continuous enhancement of our technical innovations. Our research focuses on diverse areas such as cloud multi-agent systems, cloud-native databases, resource scheduling, middleware solutions, and user experience studies. With a dynamic technical environment, we collaborate with industry leaders to build a highly competitive cloud platform.Your Role:Lead the design and deployment of comprehensive multi-agent evaluation systems on cloud platforms, implementing agent coordination strategies including reinforcement learning and hierarchical planning.Design, develop, and scale next-generation AI multi-agent systems for enhanced collaboration and autonomous execution.Stay at the forefront of AI agent research trends, integrating novel models and orchestration techniques to expand our technical capabilities.Work collaboratively with a global team of AI researchers to embed advanced AI functionalities into existing frameworks.Conduct in-depth analysis and implementation of GenAI solutions, focusing on Agentic Orchestration and Agent Builder frameworks.Engage in technical research and development activities, contributing to project deliveries.This role may require overseas travel.

About the Team Noah’s Ark Lab, established in 2012, drives research at Huawei Technologies Canada Co., Ltd. The lab works at the intersection of academia and industry, advancing artificial intelligence and related fields. Its projects span large language models (LLMs), reinforcement learning (RL), natural language processing (NLP), computer vision, AI theory, and autonomous driving. The team focuses on long-term research with practical impact, integrating new discoveries into products and services. Role Overview The Senior Principal Researcher will shape the research direction for AI algorithms at the Markham, Ontario site. This role sets the vision for AI agents, embodied AI, and reasoning-centric large language models. The position combines technical leadership with hands-on research and collaboration across teams. What You Will Do Define and drive the research strategy and technical roadmap for AI agents, embodied AI, and reasoning-focused LLMs. Lead a multidisciplinary research team, fostering a culture of scientific rigor, creativity, and fast iteration. Translate research breakthroughs into scalable, production-ready AI systems, working closely with engineering and product groups. Advance the state of the art by conducting original research and establishing internal best practices. Identify new research directions through collaboration with leading academic and industry labs. Oversee research investments, infrastructure, and resource allocation to support long-term goals. Act as a thought leader by publishing research, giving keynote talks, and contributing to the global AI community. Location Markham, Ontario, Canada

About Noah’s Ark Lab at Huawei Canada Founded in 2012, Noah’s Ark Lab has built a reputation as a leading research center recognized for contributions in both academia and industry. The team focuses on advancing artificial intelligence and related technologies, working on projects that aim to benefit both Huawei and the wider community. Areas of work include large language models (LLMs), reinforcement learning (RL), natural language processing (NLP), computer vision, AI theory, and autonomous driving. Role Overview: Senior AI Agent Researcher This position is based in Markham, Ontario. The Senior AI Agent Researcher will play a key role in designing and developing advanced AI agents, with a focus on integrating state-of-the-art research into practical systems. What You Will Do Design and build next-generation AI agents using large language models for autonomous reasoning, planning, and task execution. Develop core agent features such as memory, tool use, self-reflection, and long-term decision-making. Create and improve multi-agent systems to support collaboration, coordination, and complex problem-solving. Integrate AI agents with external tools, APIs, and real-world systems for end-to-end automation. Research and advance methods in reasoning-enhanced LLMs, agent alignment, and embodied intelligence. Work closely with interdisciplinary teams to move research from concept to scalable, production-ready systems. Compensation Total target annual compensation for this role is between $127,000 and $225,000, depending on education, experience, and demonstrated expertise.

Join Huawei Canada as a Research Scientist!The Noah's Ark Lab, established in 2012, has emerged as a leading research entity dedicated to pioneering advancements in artificial intelligence and its applications. Our mission is to leverage cutting-edge research to enhance both our products and the broader community. Our projects encompass a wide range of AI disciplines, including Large Language Models (LLMs), Reinforcement Learning (RL), Natural Language Processing (NLP), computer vision, AI theory, and Autonomous driving.Key Responsibilities:Drive independent research and development in computer vision and multimodal foundation models.Collaborate with diverse teams to embed computer vision technologies into comprehensive spatial reasoning systems.Mentor junior engineers and interns, cultivating a dynamic and innovative team culture.Enhance our intellectual property through active participation in patent submissions and scholarly publications.Keep informed on the latest trends and breakthroughs in computer vision and machine learning, while proactively seeking innovative opportunities.Effectively manage projects and consistently deliver exceptional results within set deadlines.

Huawei Canada is excited to announce a 12 to 16-month Co-op opportunity for aspiring Researchers in the field of AI focused on Autonomous Driving and Multimodal Learning.About the Team:The Noah’s Ark Lab, established in 2012, has become a leading research institution recognized for its significant contributions to both academia and industry. Our mission is to propel advancements in artificial intelligence and related sectors to enhance the company’s offerings and societal benefits. We are committed to impactful, long-term projects that aim to integrate cutting-edge research into our products and services, including Large Language Models (LLMs), Reinforcement Learning (RL), Natural Language Processing (NLP), computer vision, AI theory, and Autonomous Driving.About the Role:Explore complex challenges in autonomous driving and multimodal reasoning, such as scene understanding, decision making, spatial reasoning, and causal learning.Develop and implement advanced algorithms leveraging deep learning and transformer-based architectures for vision-language-action models.Prototype and assess innovative concepts using internal simulation tools like CARLA and Navsim, as well as large-scale driving datasets such as Waymo.Examine model behaviors, create visualizations, and contribute to benchmarking processes.Work collaboratively with senior researchers to support ongoing research initiatives and academic publications.Engage in regular technical discussions, contribute to internal presentations, and ensure the maintenance of clean, reproducible codebases.

Join Huawei Canada as a Senior Research Engineer, specializing in AI Agents and AgentOps.About Our Team:Since its inception in 2014, the Distributed Scheduling and Data Engine Lab has been at the forefront of Huawei Cloud's innovation in Canada. We delve into cutting-edge cloud technologies, enhancing product development and continuous improvement. Our research encompasses cloud-native databases, resource scheduling, middleware, media processing, and user experience studies. We cultivate a dynamic technical environment, collaborating with industry experts to build a leading cloud platform.Your Role:Design and develop LLM-driven AI agents tailored for cloud services, with a strong focus on agent design, orchestration, and integration within PaaS platforms.Translate complex academic theories into practical, scalable production code, enhancing AI tools and application platforms.Collaborate with AI researchers and cloud engineers to architect, implement, and assess AI-driven systems.Ensure optimal performance and reliability of AI workflows through thorough testing and evaluation.Engage in applied research with opportunities for publication, patenting, and advancing the frontiers of autonomous AI systems.The anticipated annual total compensation for this role ranges from $127,000 to $225,000, contingent on qualifications, experience, and proven expertise.

Huawei Canada is excited to announce an immediate opening for a Senior Principal Researcher specializing in AI for Science.Join Our Innovative Team:At Huawei Canada, our Technology Planning and Cooperation Department is at the forefront of strategic innovation. Collaborate with top experts as we explore new technological frontiers and develop long-term strategies to fulfill Huawei's vision. This unique role allows you to blend both technical prowess and business acumen.As we advance our next-generation computing infrastructure and AI foundation models that seamlessly integrate physics, simulation, and learning at an unprecedented scale, we are seeking a visionary individual who can bridge the gap between scientific AI research and system-level innovation—propelling our mission to merge computing and connectivity, thereby facilitating large-scale AI for Science and simulation intelligence.Key Responsibilities:Engage in groundbreaking research at the intersection of scientific computation and AI infrastructure, focusing on areas such as physics-informed AI, distributed training, and hybrid simulation–ML workflows.Collaborate with Huawei’s Computation and Networking R&D teams to design infrastructure-aware AI models and optimize algorithms alongside hardware.Lead or significantly contribute to AI for Science foundation models in disciplines such as materials science, physics, molecular dynamics, or multi-scale simulations.Develop and prototype distributed training solutions and integrated AI pipelines utilizing Huawei’s MindSpore and Ascend AI ecosystems.Publish research findings in leading ML and scientific venues (e.g., NeurIPS, ICML, JHEP, PRD) and enhance Huawei’s internal intellectual property and R&D assets.Mentor junior researchers and contribute to the strategic planning of Huawei’s AI for Science and Computing Infrastructure initiatives.

Join Huawei Canada as an Intern Researcher in AI Agent Evaluation!The Distributed Scheduling and Data Engine Lab, established in 2014, serves as Huawei Cloud's technical innovation hub in Canada. Our lab is dedicated to pioneering research and development in advanced cloud technologies, facilitating the productization and continual enhancement of our technical breakthroughs. We focus on cutting-edge areas such as cloud-native databases, intelligent SQL engines, LLM/Agent infrastructure, and LLM/Agent Evaluation Technology. Our collaborative environment with industry experts empowers us to build a competitive cloud platform.About the Role:Engage in groundbreaking research aimed at enhancing the capabilities and evaluation methods of large language model-based agents, contributing to the development of the next generation of dependable AI systems.Your focus will be on tackling fundamental challenges associated with deploying AI agents in complex, long-term tasks, particularly in managing context, reasoning under uncertainty, and ensuring consistent behavior.You will employ formal reasoning, causal inference, and theoretical foundations in your research strategies to deeply understand agent behavior across various environments.This position is research-centric, requiring you to define complex problems, conduct thorough experiments, and contribute to publishable findings rather than developing production-ready systems.The ultimate goal is to create principled methods and theoretical underpinnings that drive significant advancements in agent evaluation and autonomous reasoning.

Join Huawei Canada as a Senior Researcher specializing in Embodied AI.About Our Team:Established in 2012, the Noah’s Ark Lab has become a leading research institution, achieving notable success in both academic and industrial realms. Our mission is to propel advancements in artificial intelligence and its applications for the betterment of society and our organization. We are committed to impactful and long-term projects aimed at enhancing cutting-edge research and integrating innovative solutions into our products, which include LLMs, RL, NLP, computer vision, AI theory, and autonomous driving technologies.Position Overview:Collaborate with a team of skilled researchers to tackle real-world challenges in the field of Embodied AI.Design and implement state-of-the-art methodologies for Embodied AI applications, focusing on areas such as generative AI, representation learning, foundational models, reasoning, planning, data generation and augmentation, reinforcement learning, and low-level control.Convert mathematical problem definitions and model specifications into efficient, executable code.Conduct evaluations and empirical studies utilizing robotic platforms in both simulated environments and real-world settings.Develop high-impact intellectual properties (e.g., patents) and contribute to research publications in premier AI conferences and journals.

About the Team Noah’s Ark Lab, established in 2012, drives research at Huawei Canada with a focus on artificial intelligence. The lab’s work spans both academic and industry applications, supporting projects that shape AI’s future in areas such as large language models, reinforcement learning, natural language processing, computer vision, AI theory, and autonomous driving. The team is committed to long-term research that directly informs Huawei’s products and services. Role Overview The Senior Researcher in Physical AI will join the Markham, Ontario team to tackle practical challenges in Embodied AI and Spatial AI. This position blends foundational research with real-world application, working closely with other researchers and engineers. Key Responsibilities Work with a multidisciplinary team to address challenges in Embodied AI and Spatial AI, connecting research outcomes to practical solutions. Develop and test new methodologies for Physical AI, focusing on areas such as robotic foundation models, world models, multimodal representation learning, reasoning and planning, imitation learning, reinforcement learning, and low-level control. Translate problem definitions and model designs into production-ready code, supporting rapid experimentation and iteration. Design and conduct experiments on both simulation and real-world robotics platforms, including data collection, evaluation, and performance analysis. Collaborate across research, infrastructure, and robotics teams to create a feedback loop between data, models, and real-world performance. Contribute to patents and publish research in leading AI and robotics venues. Compensation Total target annual compensation for this role ranges from $127,000 to $225,000, depending on educational background, experience, and demonstrated expertise.

Join Huawei Canada as an AI Agent Intern Researcher for a 12-month internship opportunity. This role allows you to immerse yourself in groundbreaking AI technologies.About Our TeamThe Technology Planning and Cooperation Department is at the forefront of shaping long-term technology strategies and pioneering innovations across CARI. Collaborate with senior researchers, system architects, and industry leaders, focusing on next-generation AI technologies and intelligent systems like foundation models and AI agents.Our group thrives at the convergence of technology foresight, advanced research, and prototype development, transforming visionary concepts into experimental systems and early-stage technology prototypes.This internship offers a unique chance to work on pioneering AI subjects while developing real technical prototypes that could shape future platforms and products.Internship Overview:We seek enthusiastic PhD Research Interns dedicated to exploring innovative AI technologies and developing experimental prototypes. The internship will involve AI agents, foundation models, and intelligent systems, merging technological insights with research and system prototyping.Interns will engage with cutting-edge topics, including AI agents and autonomous developer systems, while constructing experimental prototypes that may significantly influence future products and research pathways.Key ResponsibilitiesMonitor advancements in AI/ML, foundation models, AI agents, and AI systems to uncover emerging technological opportunities.Evaluate research literature and industry trends to derive technical insights and potential research trajectories.Contribute to internal research reports and briefings on cutting-edge AI technologies and innovations.Design and develop experimental prototypes to investigate new AI architectures and system concepts.Build early-stage systems pertaining to AI agents, multi-agent systems, developer agents, and AI-native software platforms.

Huawei Canada is seeking a dedicated Researcher to join our innovative team.At the forefront of technology, the Distributed Data Storage and Management Lab specializes in pioneering research in distributed data systems. Our mission is to create next-generation cloud serverless products, integrating core infrastructure and advanced databases. We tackle a myriad of data challenges, focusing on cloud-native disaggregated databases, pay-by-query user models, and optimizing low-level data transfers through RDMA. Our teams are committed to developing cutting-edge cloud serverless data infrastructures and implementing state-of-the-art networking technologies for Huawei's global AI ecosystem.Position Overview:Design and implement advanced Agentic Reinforcement Learning (RL) and Multi-Agent Reinforcement Learning (MARL) algorithms tailored for cooperative, competitive, and mixed-agent environments, incorporating CTDE, decentralized learning, and hierarchical agent systems.Develop scalable simulation and training platforms for extensive agent systems, facilitating self-play, population-based training, curriculum learning, and emergent behavior analysis.Enhance multi-agent learning performance across distributed compute clusters, focusing on sample efficiency, credit assignment, agent coordination, communication learning, and training stability.Investigate and prototype innovative methodologies for multi-agent intelligence, encompassing communication protocols, credit assignment, game-theoretic learning dynamics, meta-learning, and adaptive agent populations.Transform groundbreaking research in agentic AI and MARL into production-grade systems for real-world and high-fidelity simulated environments.Establish benchmarking frameworks and evaluation metrics aimed at agent coordination, robustness, scalability, and safety.Collaborate with research, infrastructure, and product teams to implement scalable agentic learning systems in practical applications.Drive technical leadership and innovation through publications, patents, open-source contributions, and presentations at conferences.The total target annual compensation for this role ranges from $106,000 to $156,000, contingent on education, experience, and proven expertise.

Huawei Canada is excited to announce a permanent opportunity for a Senior Researcher specializing in Voice AI.Team Overview:Join the Human-Machine Interaction Lab, where we bring together top talents from around the globe to transform the interaction between humans and technology. Our team is dedicated to pioneering innovative, user-centered designs and advancing research in human-computer interaction. We collaborate across various disciplines, developing groundbreaking interactive systems, sensing technologies, wearable and IoT devices, human factors, computer vision, and multimodal interfaces. Our mission is to elevate user experiences through impactful products and state-of-the-art research.Role Responsibilities:Engage in advanced research and rapid prototyping in the areas of speech and audio AI, including but not limited to speech enhancement, separation, recognition, speaker modeling, and audio-language/vision models.Design, implement, and critically evaluate cutting-edge deep learning architectures for effective speech and audio comprehension.Contribute to the development of Huawei’s next-generation intelligent products, such as smartphones, earbuds, wearables, and smart glasses, by innovating audio AI functionalities.Work collaboratively with research scientists, software engineers, and product teams to convert research findings into operational systems.Maintain awareness of emerging technologies in audio, multimodal, and large foundation models, contributing to publications, patents, and product innovations.Share research advancements and results with both internal and external stakeholders.

Join Huawei Canada as a Senior Researcher in our Emerging Storage Lab!About Our Team:Our Emerging Storage Lab, located at Huawei Canada's Toronto and Vancouver Research Centres, is dedicated to pioneering next-generation storage technologies. Our diverse team of skilled computer engineers and scientists, with experience ranging from recent graduates to industry veterans with over 20 years of expertise, is at the forefront of innovation. We explore various aspects of storage technology including data management, data cataloging, file systems, storage networks, and AI storage, seeking to propel advancements in the AI-driven data storage landscape.Job Responsibilities:Conduct applied research to design and prototype cutting-edge AI data engines and storage architectures tailored for optimizing large-scale AI training and inference workloads.Architect and implement robust software components across data, metadata, and AI pipeline layers, ensuring data lineage, versioning, and automated lifecycle management for AI assets.Develop and refine the data plane for AI infrastructures, addressing critical challenges like distributed dataset shuffling, rapid checkpointing, model loading and offloading, KV Cache operations, and low-latency metadata serving for billion-scale datasets.Create high-performance system software that seamlessly integrates AI storage, AI data, and orchestration frameworks, eliminating bottlenecks within the machine learning pipeline.Enhance the end-to-end data path from persistent storage to GPU memory by leveraging knowledge of hardware, networking, and AI workload specifications.Contribute to the academic community by publishing research at leading conferences.Collaborate with global AI research and engineering teams to bring innovations to production and shape the strategic roadmap for AI infrastructure.

Join Huawei Canada as a Senior Researcher in our dynamic team focused on AI-powered big data solutions.About Our Team:The Computing Data Application Acceleration Lab is dedicated to developing a state-of-the-art global data analytics platform, structured into three specialized teams using cutting-edge programming technologies. Our focus lies in full-stack innovations, including software-hardware co-design and enhancing data efficiency at both storage and runtime layers. We’re also pioneering next-generation GPU architectures aimed at gaming, cloud rendering, VR/AR, and Metaverse applications.Our lab's mission is to bolster algorithm performance and training efficiency across industries, ensuring sustained competitiveness in the market.Key Responsibilities:Monitor emerging trends and advancements in big data and AI systems within both industry and academia. Conduct thorough analyses to pinpoint the trajectory of groundbreaking technologies for AI-centric big data systems.Engage collaboratively with stakeholders to gain a comprehensive understanding of their business needs, translating these into innovative technology solutions that align with organizational goals.Identify and define essential software requirements and features, develop a proof-of-concept (PoC) infrastructure for our AI-driven big data system, optimizing its performance and cost-effectiveness.Seamlessly integrate the PoC system into our existing products and facilitate its transition to the production team.Generate intellectual property like patents and trade secrets based on research outcomes and publish findings in peer-reviewed journals and conferences.Present research results at conferences and engage in collaborations with external research institutions and universities.

Join Huawei Canada as a Senior Principal EngineerTeam Overview:As part of the Distributed Data Storage and Management Lab, you will engage in pioneering research focused on distributed data systems. Our mission is to innovate next-generation cloud serverless products that integrate core infrastructure with advanced databases. This lab tackles significant data challenges, developing cloud-native disaggregated databases, implementing pay-by-query user models, and optimizing low-level data transfers using RDMA. Teams within the lab are responsible for creating advanced cloud serverless data architectures and integrating state-of-the-art networking technologies into Huawei's global AI infrastructure.Position Overview:Oversee system-level optimization of open-source frameworks within the realms of Large Language Models (LLMs) or reinforcement learning, emphasizing large-scale training and inference.Exhibit profound theoretical expertise in reinforcement learning or LLM algorithms and spearhead the design and execution of advanced optimization solutions across the AI software stack.Proactively identify and propel systematic innovations in LLMs and reinforcement learning algorithms, continuously enhancing the competitive edge of AI frameworks.Work collaboratively with cross-functional teams, nurturing the technology ecosystem and taking a leadership role in the advancement of AI framework technologies through your technical expertise.

Join Huawei Canada as a Co-op Researcher specializing in Embodied AI Agents!About Our Team:The Noah’s Ark Lab, established in 2012, has emerged as a leading research entity with significant contributions to both academia and the tech industry. Our mission centers around pioneering advancements in artificial intelligence and related domains to elevate both our organization and societal well-being. Our dedicated team engages in transformative, long-term projects aimed at enhancing cutting-edge research while seamlessly integrating innovations into Huawei's product offerings, including Large Language Models (LLMs), Reinforcement Learning (RL), Natural Language Processing (NLP), computer vision, AI theory, and autonomous driving technologies.Position Overview:Engage actively in cutting-edge research focused on embodied AI.Develop and implement algorithms for innovative models and applications, and facilitate their deployment in internal products.Collaborate closely with fellow researchers within the team to drive project success.Stay abreast of developments in machine learning, producing insightful reports and technical documentation.

Huawei Canada is seeking a Senior Principal Technical Planning Manager to join our dynamic team.About the Team:The Computing Data Application Acceleration Lab is dedicated to building a premier global data analytics platform through three specialized teams utilizing groundbreaking programming technologies. Our focus is on full-stack innovations, including software-hardware co-design and optimizing data efficiency across storage and runtime layers. We also spearhead the development of next-gen GPU architectures for gaming, cloud rendering, VR/AR, and Metaverse applications. Our mission is to enhance algorithm performance and training efficiency across various industries, ensuring long-term competitiveness.Job Responsibilities:Keep abreast of the latest technology trends and research advancements in AI/ML, producing insightful technology reports.Lead the evaluation and adoption of innovative AI/ML technologies and methodologies.Collaborate with stakeholders to create strategic technical plans and guide cross-functional teams in executing AI/ML projects.Identify and understand pain points and mid-to-long-term requirements, promoting partnerships with local university professors and industry resources for collaborative projects.Spot new investment opportunities and advocate for the expansion of technology teams and increased funding.Cultivate a culture of innovation and continuous improvement within the AI/ML team.