QA Architect/Consultant - Senior Management Role

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.

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.

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.

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...

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.

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 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.

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.

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 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 the Vice President of Technical Strategy, specializing in AI and Data Storage.Team Overview:The Emerging Storage Lab at Huawei Canada, located within our Toronto and Vancouver Research Centers, is dedicated to pioneering next-generation storage technologies. Our talented team includes graduate engineers and computer scientists, boasting industry experience ranging from fresh graduates to veterans with over 20 years in the field. We explore a wide range of storage-related innovations, such as data management, data fabric, file systems, storage networks, and AI-enhanced storage solutions, all aimed at propelling the future of data storage.Position Responsibilities:Develop and implement a comprehensive technology roadmap for AI and data storage that aligns with global research and development initiatives and business goals. Establish a global research agenda focusing on AI-optimized storage platforms, including data lakes and warehouses.Lead the transition of the lab towards data-centric AI research in data storage, ensuring our innovations resonate with industry advancements. Spearhead cutting-edge research in AI/LLM-optimized data intelligence systems, scalable data lakes, and advanced storage solutions.Act as both a technical architect and a champion for our vision, actively engaging in critical projects. Participate in architecture reviews, performance optimizations, and key design decisions. Prototype next-generation architectures that seamlessly integrate storage, data analytics, and AI into a unified data ecosystem.Lead and inspire a world-class research team, mentoring top engineers and researchers while fostering a culture of innovation and collaboration.Influence industry standards by publishing impactful research, securing patents for groundbreaking approaches, and representing Huawei at leading technology forums.

Join Huawei Canada as a Strategic Research Intern in our Technology Planning and Cooperation Department for a 12-month internship opportunity.Team Overview:Our Technology Planning and Cooperation Department is at the forefront of strategic innovation within Huawei Canada. Collaborate with seasoned experts to explore emerging technology landscapes and contribute to strategic planning that aligns with Huawei's long-term vision. This role presents an exceptional opportunity to integrate technical acumen with business strategy.Internship Responsibilities:Engage in academic conferences and evaluation activities, offering valuable technical insights.Support technical path analysis by researching next-generation technologies in AI and Large Language Models (LLM), monitoring trends, and understanding the technology evolution roadmap.Assess and identify major innovations in foundational AI and LLM.Generate concise reports and systematic analyses on critical trends and innovations.Collaborate with cross-functional teams to advance innovations with significant potential.

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 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.

Noah’s Ark Lab at Huawei Canada has operated since 2012 as a research institute recognized for its work in both academic and industry circles. The lab advances artificial intelligence and related fields, with a focus on projects that drive long-term impact. Areas of expertise include large language models, reinforcement learning, natural language processing, computer vision, AI theory, and autonomous driving. Research at the lab aims to refine state-of-the-art methods and integrate new innovations into practical products and services. Role overview The Chief Scientist in Physical AI leads research and development efforts in Embodied AI and Spatial AI. This role involves close collaboration with researchers and engineers to address practical challenges and move advanced research into scalable, real-world applications. What you will do Direct research in Embodied AI and Spatial AI, working with teams to solve real-world problems and transition solutions into production. Develop new methods in Physical AI, including robotic foundation models, world models, multimodal representation learning, reasoning and planning, as well as imitation and reinforcement learning with low-level control. Translate complex research and model designs into efficient, production-ready systems, supporting rapid iteration and experimentation. Design and execute experiments in both simulated and real robotic environments, focusing on data collection, evaluation, and performance analysis. Lead closed-loop learning initiatives by integrating data, models, and real-world feedback to enhance system reliability and adaptability. Promote collaboration across research, infrastructure, and robotics teams to build scalable, coherent systems. Contribute to impactful research outputs, including patents and publications in leading venues such as NeurIPS, ICML, ICLR, CVPR, and ICRA. Location This position is based in Markham, Ontario, Canada.

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.

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 is excited to announce an immediate opening for a 4 to 8-month internship opportunity for an AI Efficiency Researcher.About Our Team:Established in 2012, the Noah’s Ark lab has become a leading research hub, making significant contributions to both academic and industrial advancements. Our mission is to push the boundaries of artificial intelligence and allied fields for the betterment of both our company and society. We undertake impactful, long-term projects aimed at refining state-of-the-art research and integrating innovative solutions into our products and services, encompassing areas such as LLMs, RL, NLP, computer vision, AI theory, and Autonomous driving.Role Overview:Participate in pioneering research focused on optimizing AI systems, particularly aimed at improving performance on edge devices.Develop and investigate efficient algorithms and models to reduce computational and storage demands on edge devices.Research and apply AI model optimization techniques specific to various hardware platforms, including model quantization, pruning, and distillation.Assess and analyze the performance of optimized AI models in practical application scenarios.Work collaboratively with team members to tackle technical challenges and contribute to academic writing and publication efforts.