Senior Principal Software Engineer - AI Multi-Agent Systems

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.

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.

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 AECOM as a Senior Landscape Architect, where you will leverage your expertise to create sustainable and innovative landscape designs. You will collaborate with multidisciplinary teams to deliver exceptional projects that enhance the built environment while promoting ecological balance.

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.

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 Software Engineer, specializing in Windowing and Graphics.About Our Team:Our Web Technology Lab is at the forefront of innovation, dedicated to enhancing the rendering capabilities of ArkUI and web content. We focus on customizing GPU drivers, optimizing the Chrome rendering architecture for TBDR GPU targets, and developing advanced concurrent web layouts to elevate performance and user experience.Key Responsibilities:Drive pre-research and breakthroughs in next-generation 2D graphics rendering technologies, with an emphasis on architecture-level innovations such as dynamic fixed pipelines and data-driven rendering.Architect and optimize the 2D graphics stack and window system for terminal operating systems, such as OpenHarmony, to enhance performance while minimizing power consumption under heavy loads.Monitor and analyze the evolution and design of current OS graphic frameworks.The total target annual compensation for this role ranges from $127,000 to $225,000, commensurate with education, experience, and proven 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.

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 Cloudpipe as a QA Architect/Consultant, where you will lead our Software Quality Assurance team and spearhead innovative QA initiatives. This senior role encompasses managing QA processes, optimizing testing strategies, conducting risk analyses, and overseeing resource planning for client projects.We seek a candidate with a robust background in designing QA architecture across various development methodologies, including Agile, Waterfall, Kanban, and Hybrid Software Development Life Cycles.

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.

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 Technologies Canada Co., Ltd. is excited to announce a permanent opportunity for a Senior Kernel Developer specializing in Real-Time Operating Systems (RTOS).Team Overview:Join our Intelligent Real-Time Operating System Lab, where we tackle OS architecture, concurrency challenges, and resource management for a variety of applications, including AI and machine learning. Our mission is to pioneer innovative OS designs for mixed-criticality environments, pushing beyond conventional methodologies. We are committed to developing next-generation OS platform support that facilitates exceptional performance, maximizes concurrency, and adeptly manages resources using machine learning and AI technologies. Our aim is to enhance performance and reliability amidst the complexities presented by edge-embedded devices.Position Responsibilities:Engage in research and development of real-time operating systems targeting embedded devices, cloud computing, virtualization, and the automotive sector.Contribute to the advancement of next-generation RTOS technologies to support a wide array of computational platforms.Address complex challenges related to scheduling, resource allocation, isolation, and inter-process communication in intricate system use cases.Develop tools and solutions to overcome performance-related challenges within the system.

Join AECOM as a Landscape Architect where you will play a pivotal role in designing and managing innovative landscape projects. Collaborate with multidisciplinary teams to create sustainable outdoor environments that enhance community well-being. Your expertise in landscape design will contribute to various projects, ensuring aesthetic appeal and environmental harmony.

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 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.

Join Huawei Canada as a Principal Scientist in our Computing Data Application Acceleration Lab!About the Team:Our lab is at the forefront of building a premier global data analytics platform, segmented into three specialized teams leveraging cutting-edge programming technologies. We focus on comprehensive innovations, particularly software-hardware co-design, to optimize data efficiency at both storage and runtime layers. Additionally, we are pioneering next-generation GPU architecture tailored for gaming, cloud rendering, VR/AR, and Metaverse applications.Our mission is to enhance algorithm performance and training efficiency across various sectors, cultivating long-term competitiveness.About the Role:Develop a precise and universal AI performance model utilizing mainstream AI acceleration technologies for comprehensive theoretical analysis.Monitor emerging hardware designs within the industry, performing in-depth analysis to pinpoint the trajectory of key advanced technologies.Collaborate with our AI research team to uncover critical performance bottlenecks in future AI workloads and define essential algo-hw co-design features for our next-generation chips, focusing on low cost, high throughput, scalability, and stability.Model performance of representative AI workloads using state-of-the-art training and inference algorithms across various hardware specifications to conduct quantitative assessments of compute, memory, I/O, and interconnect.Lead our team towards breakthroughs in acceleration algorithms, achieving the best balance between model quality and computational efficiency.Stay abreast of emerging algorithm-hardware co-design technologies, conducting detailed insights and analyses to grasp the key directions and trends in this cutting-edge area.

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.