Senior Principal Architect - Window System

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 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.

Join Huawei Canada as a Senior Principal Compiler Engineer in our dynamic team focused on cutting-edge compiler technology.About Our Team:The Heterogeneous Compiler Lab is at the forefront of innovative research in compiler technology, led by a team of distinguished experts. With a strong presence in the LLVM Compiler Infrastructure project, we are pioneers in developing diverse IP compiler strategies that enhance AI, GPU, and CPU architectures. Our mission includes advancing heterogeneous compilation technology and SW-HW co-design to optimize performance for AI, graphics, gaming, and mobile applications, actively engaging with the open-source community to overcome technical challenges.Job Responsibilities:Design, develop, and rigorously test software that meets business requirements across a variety of products.Conduct performance analysis and optimization of software systems, contributing to software/hardware co-design initiatives.Collaborate with internal and external stakeholders to define project requirements and formulate development plans for software productization.Lead scrums, project reviews, and planning sessions, fostering a collaborative team environment.Mentor junior developers through educational sessions, code reviews, and career development initiatives.Research and analyze industry trends, proposing innovative technical directions for the team.

Join Huawei Canada as a Senior Principal Architect and be at the forefront of innovation in web technologies.About Our Team:The Web, Windowing, and Graphics team is dedicated to pioneering unique architectures aimed at enhancing the rendering capabilities of ArkUI and web platform content. Our research encompasses customizing GPU drivers tailored for web rendering, streamlining the Chrome rendering architecture for TBDR GPU targets, and optimizing concurrent web layouts to leverage the full potential of Huawei’s HarmonyOS.Your Role:Stay ahead of web engine and web application framework technology trends.Identify critical technologies and lead the team in researching and implementing proof of concepts (PoCs).Guide the Canadian research team to collaborate effectively with the engineering department for successful production outcomes.

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

Join Huawei Canada as a Principal Compiler Engineer and make a significant impact in the world of technology.About Our Team:The Heterogeneous Compiler Lab at Huawei Canada is a pioneering research team led by renowned experts with vast industry and academic backgrounds. We are proud to be recognized as vital contributors to the LLVM Compiler Infrastructure project, excelling in creating diverse compiler technologies for AI, GPU, and CPU architectures. Our focus is on advancing heterogeneous compilation technology and software-hardware co-design, optimizing for AI, graphics, gaming, and mobile applications while overcoming technological challenges through active participation in the open-source community.Key Responsibilities:Design, develop, and rigorously test software solutions to meet a variety of business requirements across multiple products.Analyze, enhance, and optimize software system performance while collaborating on software/hardware co-design initiatives.Engage with both internal teams and external partners to define project and feature specifications, developing comprehensive plans for software productization.Lead scrum meetings, code reviews, and project planning sessions, fostering team collaboration and cohesion.Provide mentorship to junior developers through educational sessions, code evaluations, and guidance on career growth.Stay ahead of industry trends and paradigms, proposing innovative technical strategies for the team.The total target annual compensation for this position ranges from $127,000 to $225,000 based on education, experience, and demonstrated expertise.

Join Huawei Canada as a Principal Software Engineer and be a part of our innovative team!About Us:Founded in 2014, the Distributed Scheduling and Data Engine Lab serves as Huawei Cloud’s technology innovation hub in Canada. This lab is dedicated to pioneering advanced cloud technologies, facilitating the productization and ongoing refinement of our technological breakthroughs. Our research spans various domains, including cloud-native databases, resource scheduling and prediction, middleware solutions, media engines, and user experience enhancements. We cultivate a dynamic technical environment that encourages collaboration with industry specialists to develop a competitive cloud platform. We are currently seeking a Principal Software Engineer to join our team.Job Responsibilities:Integrate AI frameworks with cloud infrastructure, optimizing the end-to-end architecture for AI inference and fine-tuning scenarios, with a focus on enhancing observability, reliability, and performance of AI services.Collaborate with team members to design and build concept prototypes, validating optimization strategies to ensure their effectiveness.Work closely with the product team to support prototype development, ensuring alignment with product constraints and requirements.

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 AI Technology Strategy Expert!We are looking for a highly skilled professional to lead our strategic innovation initiatives within the Technology Planning and Cooperation Department. This role offers a unique opportunity to combine your technical expertise with business acumen in a dynamic environment.About the Team:The Technology Planning and Cooperation Department is at the forefront of strategic innovation at Huawei Canada, driving research into emerging technologies and helping shape the long-term vision of the company through effective planning.Key Responsibilities:Monitor and assess groundbreaking advancements in AI/ML, foundation models, agentic AI, embodied intelligence, and next-gen computing architectures.Create comprehensive technology foresight reports and strategic insights to steer R&D investments and product development.Identify transformative changes in AI systems architecture, heterogeneous computing, agent platforms, and intelligent devices.Evaluate innovative technologies and research breakthroughs for integration into Huawei’s ecosystem.Provide technical leadership in the design of AI system architectures, large-scale model infrastructure, and intelligent agent platforms.Assess technology maturity and outline strategic technology roadmaps.Collaborate with research teams, product groups, and architects to convert strategic insights into actionable technology projects.Lead cross-functional initiatives focused on next-gen AI platforms and intelligent device capabilities.Forge strategic partnerships with top universities, research institutions, and industry leaders.Initiate joint research programs in areas like AI agents, autonomous systems, embodied intelligence, robotics, and distributed AI infrastructure.Identify promising investment opportunities and emerging startups in the tech industry.

Huawei Canada is excited to announce a permanent opportunity for a Senior Principal Engineer.About the Team:The Distributed Data Storage and Management Lab is at the forefront of researching distributed data systems. Our aim is to innovate next-generation cloud serverless products that integrate core infrastructure and databases. This lab tackles numerous data challenges, including cloud-native disaggregated databases, pay-by-query user models, and optimizing low-level data transfers through RDMA. Our teams are dedicated to creating advanced cloud serverless data infrastructure and leveraging cutting-edge networking technologies for Huawei’s global AI ecosystem.Join Huawei’s Poisson Lab - Redefining AI Innovation in CanadaFounded in 2019 under the 2012 Labs-Central Software Institute, Poisson Lab aims to overcome technological barriers in mobile internet. Our mission is to tackle 'bottleneck technologies', lead breakthrough internet research, and translate innovation into impactful solutions. Aligned with Huawei’s vision for the Central Software Institute – 'Rooted in software, reaching for ecological excellence' – we focus on core technologies in search, machine learning, and large model applications. Our goal is to build deepsearch and Agentic engines that are ultra-simple, ultra-smart, and ultra-fast.With R&D centers across Asia-Pacific, Europe, and major Chinese cities (Shenzhen, Hangzhou, Beijing), we collaborate with top universities, labs, and industry partners globally. This ensures we remain leaders in search, recommendation, and Agentic technologies, reinforcing Huawei’s dominance in terminals, cloud, and HarmonyOS ecosystems.Why This Role MattersWe are expanding our Canadian team, a strategic hub for AI talent specializing in large models and RAG technology. As a Technical Leader, you will guide a dynamic, talented team to tackle world-class challenges. You will have complete ownership, decision-making authority, and the freedom to shape our initiatives. Your expertise will propel us to the forefront of large language model algorithms and RAG, allowing your ideas to flourish.About the Job:You will be responsible for the architecture design, technology selection, development, implementation, and optimization of solutions that facilitate...

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.

About the Team Huawei Canada's Distributed Data Storage and Management Lab researches distributed data systems with a focus on next-generation cloud serverless products. The team works on integrating core infrastructure and databases, addressing challenges such as cloud-native disaggregated databases, pay-per-query models, and improving low-level data transfer using RDMA. Efforts center on building advanced serverless data infrastructure and deploying networking technologies to support Huawei's global AI systems. Role Overview This permanent Principal Engineer position is based in Markham, Ontario. The role centers on designing and developing frameworks and engines for serverless computing, tailored for AI workloads. The engineer will work within a platform that combines Data and AI infrastructure, focusing on vector database storage engines. What You Will Do Design and build frameworks and engines for serverless computing, optimized for AI tasks such as LLM training and inference, agent execution, and reinforcement learning. Lead the design and development of vector database storage engines as part of a unified Data + AI infrastructure platform. Advance vector indexing, retrieval algorithms, and storage architectures to enable low-latency, high-throughput vector search at scale. Set and refine the technical roadmap for vector database storage technologies. Stay engaged with industry trends, open-source projects, and the competitive landscape; translate customer needs and real-world workloads into technical solutions. Architect and implement high-performance, scalable, and reliable vector storage systems for production use. Location Markham, Ontario, Canada

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.

Huawei Canada's Distributed Scheduling and Data Engine Lab in Markham has contributed to Huawei Cloud's technical growth since 2014. The team specializes in cloud-native databases, intelligent SQL engines, AI and agent infrastructure, and evaluating large language models. Close collaboration with industry experts shapes both new product development and the continuous improvement of cloud platforms. Role overview The Senior Engineer - Cloud AI Infrastructure role focuses on building and refining infrastructure to support AI and agentic workloads. This position blends research, systems engineering, and product delivery to advance cloud AI capabilities. What you will do Develop infrastructure for AI and agent workloads, combining technical research with hands-on engineering. Track trends in large language models, agentic AI, and multi-step agent workflows to inform infrastructure decisions. Identify and address performance bottlenecks related to GPU/NPU usage, data transfer, memory management, and distributed execution. Design and implement system-level architectures for agent execution, multi-model orchestration, and large-scale inference. Evaluate and optimize AI workload requirements on cloud and hybrid environments, balancing cost, performance, and scalability. Analyze the infrastructure stack, including distributed schedulers, inference pipelines, caching, and data access patterns. Work with engineering and product teams to prototype and deliver solutions based on research findings. Translate emerging AI trends and workload patterns into scalable infrastructure designs. Location Markham, Ontario, Canada

Join Huawei Canada as a Co-op Researcher focused on Web Technologies and AI!About Our Team:Our Web Technology Lab is at the forefront of developing innovative architectures that enhance the rendering capabilities of ArkUI and web content. Our research initiatives involve customizing GPU drivers for superior web rendering, optimizing Chrome’s rendering architecture for TBDR GPU targets, developing concurrent web layout techniques, and utilizing vertical integration to enhance performance and user experience.Job Responsibilities:Identify essential technologies addressing key challenges in the web and AI domains.Conduct research and implement corresponding proofs of concept (PoC).Contribute to the preparation and writing of technical papers based on research findings.The total target annual compensation ranges from $58,000 to $104,000 based on your education, experience, and demonstrated expertise.

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 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.