Senior Principal Researcher – AI Agent & Multimodal Interaction Systems

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...

The Computing Data Application Acceleration Lab at Huawei Canada in Markham works on global data analytics platforms. This team combines software and hardware expertise to improve data efficiency in storage and runtime. Projects include developing advanced GPU architectures for gaming, cloud rendering, VR/AR, and Metaverse applications, always with future needs in mind. The group aims to advance algorithm performance and training efficiency across industries to support long-term competitiveness. Role overview This internship centers on research and development for AI foundation model training. The focus is on supporting and optimizing large language models (LLMs), code models, and multimodal models. The work involves model architecture improvements, running experiments, applying post-training optimization techniques, and exploring continual learning. Hardware-aware strategies to boost model efficiency are part of the scope. Key responsibilities Assist in developing and refining foundation models, including architecture improvements and experimental work. Apply post-training optimization and investigate continual learning methods. Help build and improve distributed training and inference systems, including parallelization strategies such as model, tensor, and data parallelism. Support operator-level and computational graph optimizations, and participate in performance benchmarking and analysis. Work closely with hardware architects and algorithm engineers on research, experiments, and prototyping to enhance system and model performance. Compensation Total target annual compensation (based on 2,080 hours per year) ranges from $58,000 to $104,000, depending on education, experience, and demonstrated expertise.

Join Huawei Canada as a Principal Architect and shape the future of AI.About Our Team:At the Computing Data Application Acceleration Lab, we are dedicated to pioneering a global data analytics platform through three specialized teams harnessing cutting-edge programming technologies. Our focus encompasses full-stack innovations, emphasizing software-hardware co-design and optimizing data efficiency across both storage and runtime layers. We are also at the forefront of developing next-gen GPU architectures tailored for gaming, cloud rendering, VR/AR, and Metaverse applications.Our lab strives to enhance algorithm performance and training efficiency across various sectors, ensuring sustained competitive advantage.Job Responsibilities:Collaborate with internal and external stakeholders to spearhead the design of foundational model architectures for LLM, Code, and Multimodal subfields through innovations in post-training and continual training methodologies, aiming to develop foundational models that exhibit state-of-the-art performance and hardware efficiency.Define technical specifications for large-scale distributed training and inference infrastructures, including parallelization and operator fusion, while analyzing the computational characteristics of standard architectures to guarantee the precision and advancement of AI hardware and infrastructure evolution.

Huawei Canada is actively seeking a Senior Researcher to join our innovative team.Team Overview:Our Computing Data Application Acceleration Lab is dedicated to establishing a premier global data analytics platform, segmented into three specialized teams leveraging cutting-edge programming technologies. This particular team is committed to full-stack innovations, focusing on software-hardware co-design and optimizing data efficiency across both storage and runtime levels. Furthermore, we are pioneering next-generation GPU architectures for applications in gaming, cloud rendering, VR/AR, and the Metaverse.Our lab's mission is to enhance algorithm performance and training efficiency across various industries, ensuring sustained competitiveness.Role Description:Collaborate with both internal and external teams to spearhead the design of foundational model architectures across LLM, code, and multimodal subfields, achieving breakthroughs in post-training and continual training. Your goal will be to develop a foundational model that excels in performance and hardware efficiency, making a significant impact in the industry.Define the technical specifications necessary for large-scale distributed training and inference infrastructures, including parallelization and operator fusion. Analyze the computational characteristics of standard architectures to ensure the accuracy and advancement of AI hardware and infrastructure evolution.

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.

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 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.

Huawei Canada is excited to announce a permanent opportunity for a Senior Researcher.About the Team:Established in 2012, the Noah’s Ark Lab has grown into a leading research entity, making significant strides in both academic and industrial realms. Our mission is to propel advancements in artificial intelligence and its related disciplines, with the goal of benefitting both the organization and society at large. We are committed to long-lasting, impactful projects aimed at enhancing cutting-edge research and seamlessly integrating innovations into Huawei's products and services, including large language models (LLMs), reinforcement learning (RL), natural language processing (NLP), computer vision, AI theories, and autonomous driving technologies.About the Role:Drive research and development initiatives independently in the fields of 3D computer vision and generative modeling.Work collaboratively with interdisciplinary teams to embed solutions into comprehensive real-world application systems.Guide and mentor junior engineers and interns, promoting a culture of collaboration and innovation.Play a vital role in enhancing our intellectual property portfolio through patent submissions and academic publications.Remain informed about the latest trends and breakthroughs in computer vision and machine learning, while actively identifying innovative opportunities.Effectively manage projects and ensure delivery of high-quality results within specified deadlines.The anticipated annual compensation for this position ranges from $106,000 to $156,000, depending on qualifications, experience, and demonstrated skills.

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

Noah’s Ark Lab at Huawei Technologies Canada Co., Ltd. is a research group established in 2012, located in Markham, Ontario. The team explores artificial intelligence across areas such as large language models, reinforcement learning, natural language processing, computer vision, AI theory, and autonomous driving. Projects often bridge academic research and real-world application, with a focus on long-term impact and integrating new findings into products and services. Role overview The Senior Principal Researcher - AI Algorithms will guide the research direction for AI algorithms at the Markham site. This position sets the vision for AI agents, embodied AI, and reasoning-centric large language models. The role combines technical leadership with hands-on research and cross-team collaboration. What you will do Define and drive the research strategy and technical roadmap for AI agents, embodied AI, and reasoning-focused large language models. Lead a multidisciplinary research team, encouraging scientific rigor, creativity, and quick iteration. Translate research advances into scalable, production-ready AI systems in close partnership with engineering and product teams. Advance the field by conducting original research and establishing internal best practices. Identify new research directions by collaborating with top academic and industry labs. Oversee research investments, infrastructure, and resource allocation to support long-term objectives. Serve as a thought leader by publishing research, delivering keynote talks, and contributing to the global AI community. Location Markham, Ontario, Canada

Join Huawei Canada as a Senior Principal Architect and lead groundbreaking innovations in window systems and graphics.About the Team:Be part of a dynamic web, windowing, and graphics team dedicated to developing advanced architectures that enhance the rendering capabilities of ArkUI and web platform content. Engage in pioneering research to customize GPU drivers tailored for web rendering needs, streamline Chrome rendering architectures for TBDR GPU targets, and explore concurrent web layout techniques, leveraging the unique vertical integration possibilities offered by Huawei’s HarmonyOS.Job Responsibilities:Deliver expert insights into OS graphics software stacks and evolving hardware trends, focusing on GUI, display, and input technologies.Spearhead the identification of critical technologies and guide the team in researching and implementing proof of concepts (PoCs).Lead collaboration efforts between the Canadian team and the engineering team based in China to ensure seamless production processes.

Huawei Canada is excited to announce a permanent opening for a Senior Researcher in GPU Applications Architecture.About Our Team:The Computing Data Application Acceleration Lab is dedicated to developing a premier global data analytics platform, segmented into three innovative teams employing cutting-edge programming technologies. This particular team is at the forefront of full-stack innovations, engaging in software-hardware co-design and enhancing data efficiency across both storage and runtime layers. Our focus includes pioneering GPU architecture tailored for gaming, cloud rendering, VR/AR, and Metaverse applications.Our mission is to elevate algorithm performance and training efficiency across diverse sectors, ensuring sustained competitive advantages.Job Responsibilities:Perform comprehensive analyses of physical AI, 3D graphics, unmanned driving, and embodied AI application trends, meticulously evaluating key requirements for GPU computing architecture. Design environmental simulation and rendering platforms based on proprietary GPU architectures, providing development, training, and simulation capabilities for emerging applications.Execute in-depth evaluations of GPU cluster systems. Establish hardware architecture, system frameworks, and software architectures. Implement intelligent solutions for large-scale clusters. Facilitate the development and simulation of emerging applications like physical AI, 3D graphics, unmanned driving, embodied AI, and cloud rendering to maintain industry-leading capabilities in environmental simulation and rendering.Persistently advance technological leadership in space intelligence and drive the evolution of our self-developed GPU technology ecosystem.

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 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.

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.

We are seeking a highly skilled Senior Mechanical Engineer to join our dynamic team in Markham. In this pivotal role, you will be responsible for designing, developing, and optimizing mechanical systems and components for a variety of projects. You will collaborate closely with cross-functional teams to ensure the successful execution of engineering projects from conception through to completion.

Join Huawei Canada as a Senior Software Engineer.The Web Technology Lab is at the forefront of developing innovative architectures to enhance the rendering capabilities of ArkUI and web content. Our research focuses on customizing GPU drivers for optimal web rendering, refining the Chrome rendering architecture for TBDR GPU targets, creating a concurrent web layout, and utilizing vertical integration opportunities to maximize performance and user experience.Your Role:Provide expertise on current web engine technology and its evolution.Engage in the design and development of the next-generation web engine, including the formulation of relevant standards.Contribute to the comprehensive design and implementation of a web engine that innovatively achieves top industry performance and resource efficiency.The anticipated total annual compensation for this role ranges from $127,000 to $225,000, based on your education, experience, and demonstrated skills.