Distinguished Engineer - AI-Driven Software Development IDE

Join Huawei Canada as a Distinguished Software IDE Engineer!Team Overview:The Software IDE Innovation Lab is at the forefront of creating an AI-Native Integrated Development Environment (IDE) designed to enhance efficiency in software development. Our lab is developing our proprietary IDE along with a suite of enterprise-level intelligent tools that leverage AI, Machine Learning (ML), Large Language Models (LLMs), and Natural Language Processing (NLP) to facilitate software development and maintenance. Our tools include an AI software engineering assistant, project-level code generation tools, code migration and translation utilities, and advanced code review and vulnerability detection systems. We also prioritize data collection, cleansing, synthesis, model design, and training involved in constructing large code models.Role Responsibilities:Innovate and develop cutting-edge software IDE technologies to address emerging business scenarios, new development methodologies, and evolving programming languages, thereby simplifying and enhancing the software development process while contributing to a thriving developer ecosystem and the company’s success.Focus on prototyping innovative software IDE technologies for open scenarios, leading to significant improvements in developer experience and software development efficiency.Collaborate with programming language and compiler specialists to create seamless integrated solutions that merge language capabilities and compiler functions with innovative IDE technologies.

About the Team The Quality & Operation Department at Huawei Canada supports key areas including Procurement, Finance, and IT services. The team focuses on solving complex problems efficiently and upholding high standards for quality and operational performance. Role Overview This is a 12-month contract position based in Markham, Ontario. The AI-Driven Software & Automation Engineer will work on projects that improve internal tools and automate business processes across the organization. Main Responsibilities Design and build internal software tools and plugins to streamline business operations. Research and integrate AI-assisted development tools such as Claude Code, Codex, GitHub Copilot, or custom large language model agents to automate standard programming tasks and increase productivity. Develop and maintain automation pipelines and scripts using Python and Shell for server maintenance, system improvements, and virtual machine troubleshooting. Document tool architecture, development workflows, and troubleshooting steps to support the internal technical knowledge base. Compensation The annual compensation for this contract (based on 2,080 hours per year) ranges from $48,000 to $94,000. Actual pay depends on qualifications, experience, and demonstrated skills.

Join Huawei Canada as a Distinguished Researcher!About Our Team:At Huawei's Computer Network and Protocol Laboratory, led by Kun Tan (https://sora-city.github.io/), our Canadian research team is at the forefront of technical innovation in networking technologies. We are dedicated to advancing AI networking solutions, focusing on AI infrastructure optimization, distributed parallelization, collective communication scheduling, task placement, and optimizing the network protocol stack, including RDMA, traffic engineering, congestion control, and resource allocation for cloud networks.Position Overview:As a Distinguished Researcher, you will lead our research team in the exploration, development, and deployment of cutting-edge networking technologies and protocols aimed at enhancing Huawei’s global AI infrastructure and cloud data-center networks. Your innovations will play a crucial role in boosting product competitiveness.Guide the team in developing advanced networking technologies and protocols that support Huawei's global initiatives.Identify and explore new opportunities aligned with company strategies and industry trends, while addressing core challenges through a cohesive technical roadmap.Foster effective communication with industry and academic professionals to ensure the delivery of Huawei's value.

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 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.

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.

Huawei Canada is excited to announce a 12-month internship opportunity for an Intern Researcher specializing in AI-driven graphics.About the Team:The Technology Planning and Cooperation Department is dedicated to fostering strategic innovation across Huawei Canada. Collaborating with talented experts, the team focuses on researching cutting-edge technology and strategic planning to support Huawei's long-term vision. This role offers a distinctive chance to enhance both technical and business acumen.About the Job:Design and develop experimental prototypes and research concepts centered on AI-native graphics pipelines and heterogeneous computing architectures, emphasizing GPU and NPU collaborative acceleration.Contribute to forward-thinking systems that embed AI inference directly into graphics, simulation, and interactive computing workflows, pushing the boundaries of performance and capability for next-generation intelligent devices.Examine how neural methodologies can enhance or substitute traditional rendering pipelines.Create heterogeneous computing models that facilitate seamless cooperation between GPU and NPU processors.Investigate architectures that empower robust AI models to operate efficiently on intelligent devices. Potential topics include:Effective inference pipelines for multimodal models.Large Language Model (LLM) or AI agent capabilities on edge devices, and heterogeneous acceleration for large models on mobile platforms.Compensation: The total target annual compensation, based on 2,080 hours per year, ranges from $93,600 to $104,000, depending on education, experience, and demonstrated expertise.

Join Huawei Canada as a Compiler Engineer in a permanent role.About the Team:The Heterogeneous Compiler Lab at Huawei Canada is a pioneering group led by distinguished professionals with vast experience in both academia and the industry. The lab is recognized for its significant contributions to the LLVM Compiler Infrastructure project and excels in creating diverse IP compiler collaborations tailored for AI, GPU, and CPU architectures. Our mission includes advancing heterogeneous compilation technologies and software-hardware co-design to optimize performance for AI, graphics, gaming, and mobile applications while addressing complex technological challenges through active engagement in the open-source community.About the Role:Design, develop, and test innovative software solutions to meet diverse business needs across various products, including:Compilers designed for next-generation mobile, network, or server hardware;Language runtimes for emerging programming languages;System-level optimization for deep learning frameworks;Concurrent programming frameworks and distributed systems that scale from embedded devices to cloud services.Analyze and enhance software system performance.Actively engage in scrums and project planning, fostering a collaborative team environment.Continuously learn new technologies and present research on industry trends to the team.The total target annual compensation for this position ranges from $106,000 to $156,000, depending on education, experience, and proven expertise.

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

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 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.

Huawei Canada is excited to announce a permanent opening for a Senior Software Developer specializing in Big Data.Team Overview:The Computing Data Application Acceleration Lab is dedicated to building a world-class data analytics platform, divided into three specialized units that leverage cutting-edge programming technologies. Our focus lies in full-stack innovations, which include software-hardware co-design and optimizing data efficiency across storage and runtime environments. Additionally, our team is at the forefront of developing next-generation GPU architectures that cater to gaming, cloud rendering, VR/AR, and Metaverse applications.This lab aims to significantly boost algorithm performance and training efficiency across various industries, ensuring sustained competitiveness in the market.Role Overview:Evaluate software requirements and elements necessary for system design.Contribute actively to software development at both product and platform levels.Lead the design and coding of specific cross-subsystem components or key algorithms.Engage in open-source and standard meetings to present innovative solutions.Mentor and guide a team of software developers.Develop intellectual property, including patents and trade secrets, based on research outcomes.Publish research findings in respected scientific journals and conferences.Share research outcomes at conferences and collaborate with external research institutions and universities.

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.

Join Huawei Canada as an AI Systems Engineer specializing in Serverless Distributed Computing.About Our Team: The Distributed Data Storage and Management Lab is at the forefront of research in distributed data systems. We are dedicated to creating next-generation cloud serverless products that integrate essential infrastructure and databases. Our research tackles complex data challenges such as cloud-native disaggregated databases, innovative pay-by-query user models, and enhancing low-level data transfers using RDMA. Our teams are instrumental in developing advanced cloud serverless data infrastructures and implementing state-of-the-art networking technologies for Huawei's global AI ecosystem.Your Role:Design and implement frameworks and engines for cutting-edge serverless computing optimized for AI workloads, including LLM training/inference and reinforcement learning.Evaluate and enhance the performance of end-to-end AI systems by focusing on distributed scheduling, data flow, and memory utilization across extensive clusters.Conduct research and assess breakthrough technologies in distributed computing, serverless infrastructure, reinforcement learning, and LLM-driven AI agents.Engage collaboratively with research, product, and platform teams to evolve conceptual AI agent or RL research into scalable production systems.Provide thought leadership through innovation, technical presentations, and patent contributions.Stay informed on industry trends by assessing emerging tools and frameworks (e.g., Ray, SkyPilot, vLLM, DeepSpeed, Mojo, etc.) to guide 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 seeking a talented Senior GPU Driver Developer for an immediate 12-month contract opportunity.About Our Team:Our Software-Hardware System Optimization Lab is dedicated to enhancing the power efficiency and performance of smartphone products through innovative software-hardware systems optimization and architectural advancements. We continuously monitor the latest trends in cutting-edge technologies to bolster our competitive edge in mobile AI, graphics, multimedia, and software architecture for mobile devices.Job Responsibilities:Develop and maintain GPU drivers across Linux and other platforms.Design, implement, and optimize features and functionalities of GPU drivers.Collaborate with cross-functional teams to seamlessly integrate GPU drivers into existing systems.Diagnose and troubleshoot GPU driver-related issues effectively.Conduct thorough code reviews to ensure adherence to high coding standards.Keep abreast of the latest trends and technologies in GPU drivers.

Kaseya, based in Markham, Ontario, develops IT infrastructure and security management solutions for Managed Service Providers and internal IT teams across the globe. The company supports clients in more than 20 countries and manages over 15 million endpoints. Backed by Insight Venture Partners, Kaseya has been building its suite of offerings since 2000. Role overview The Principal Network Software Engineer will design and implement scalable, multi-tenant cloud-native networking and security architectures. This position blends advanced cloud networking expertise with strong software development skills, contributing to Kaseya's cloud solutions from the Markham office. What you will do Architect and build multi-tenant cloud-native networking and security solutions for public, private, and hybrid cloud deployments. Enhance traffic steering, policy orchestration, and security enforcement capabilities. Create high-speed telemetry and analytics tools for monitoring network performance. Requirements Significant experience with cloud-native Next-Generation Firewalls (NGFWs), Zero Trust Security, and Secure Access Service Edge (SASE) frameworks. Proven background in cloud software development, data plane engineering, and cloud automation. Ability to deliver high-performance, multi-tenant cloud networking solutions that work across public and private clouds, cloud-managed networking devices, and SASE components. Hands-on skills: define designs, write and review code, and lead teams delivering production systems. Kaseya values transparency and accountability, and recognizes those who consistently go above and beyond for customers. Learn more about Kaseya at www.Kaseya.com. For information about Insight Venture Partners, visit www.insightpartners.com.

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 Compiler Engineer and play a pivotal role in advancing innovative technologies.About Our Team:Our Heterogeneous Compiler Lab is at the forefront of compiler research and development. Led by a team of distinguished experts, we are well-known for our contributions to the LLVM Compiler Infrastructure project. Our focus is on creating diverse compiler collaborations that enhance AI, GPU, and CPU architectures, tackling complex challenges in heterogeneous compilation and software-hardware co-design across various applications including AI, graphics, gaming, and mobile technology.Key Responsibilities:Engineer, develop, and rigorously test software solutions to meet diverse business needs across a broad product range.Evaluate and enhance software system performance while contributing to software and hardware co-design initiatives.Collaborate with both internal and external stakeholders to gather project requirements and establish development plans for software productization.Lead scrums, project planning sessions, and engage in team-building activities.Guide junior developers through mentoring sessions, code reviews, and career advancement discussions.Investigate industry trends and propose innovative technical directions for the team.The total target annual compensation for this role ranges from $127,000 to $225,000, contingent on education, experience, and proven 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.