Principal AI Research Engineer

Join Huawei Canada as a Principal AI Research Engineer in our Vancouver office, where innovation meets expertise in media technology.About Our Team:Since our inception in 2012, the Central Media Technology Institute (CMTI) has been at the forefront of media technology innovation at Huawei. Our Graphics Technology Lab is dedicated to groundbreaking research i…

Join Huawei Canada as a Researcher on a 12-month contract and be part of an innovative team dedicated to enhancing the performance and efficiency of smartphone technologies.About Our Team:The Software-Hardware System Optimization Lab is at the forefront of improving the power efficiency and performance of mobile devices. Through groundbreaking software-hardware integration and architectural innovation, we leverage cutting-edge technologies to bolster the competitive edge in mobile AI, graphics, multimedia, and software architecture.Key Responsibilities:Conduct research and develop Generative AI algorithms aimed at optimizing system performance on edge devices, achieving tangible improvements in latency, power consumption, and overall quality.Work collaboratively with fellow researchers to prototype, implement, and seamlessly integrate innovative research solutions into production-level code.Design and execute comprehensive experiments utilizing both internal and public benchmarks; establish reproducible processes, ablation studies, and statistical analyses.Stay informed on the latest literature; synthesize insights and propose new research directions.

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 positioned itself as Huawei Cloud's innovation hub in Canada. Our lab is dedicated to pioneering advanced cloud technologies, facilitating the productization and continuous enhancement of our technical innovations. Our current research domains encompass cloud-native databases, intelligent SQL engines, AI/Agent infrastructures, and LLM/Agent Evaluation Technology. We pride ourselves on creating a dynamic technical ecosystem that promotes collaboration with industry experts to develop a highly competitive cloud platform.Your Role:Design and develop LLM-powered AI agents for cloud services, ensuring robust agent architecture, orchestration, and seamless integration with PaaS platforms.Transform high-level academic theories into practical, production-ready code, creating AI tools and scalable application platforms.Collaborate closely with a team of AI researchers and cloud engineers to architect, implement, and assess AI-driven systems.Ensure the performance and reliability of agentic workflows through thorough testing and system evaluations.Engage in applied research with opportunities for publication, patenting, and advancing the forefront of autonomous AI systems.The total target annual compensation for this position (based on 2,080 hours per year) ranges from $127,000 to $225,000, depending on your education, experience, and proven expertise.

Submit your CV in English and specify your English proficiency level. Toloka AI, in partnership with Mindrift, offers freelance, project-based work for subject matter experts in physics. This role centers on evaluating, testing, and helping to improve AI systems for technology clients. Engagement is on a project basis and does not constitute permanent employment. Key responsibilities Create original optics problems inspired by current physics research. Design computationally intensive challenges that require days or weeks to solve, making manual solutions impractical. Develop problems involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base scenarios on real research issues or practical applications relevant to physics and optics. Document each problem thoroughly and provide accurate, verified solutions. Requirements Degree in Physics (Theoretical, Experimental, or Computational) or a closely related discipline Minimum of 2 years’ professional experience in applied, research, or teaching roles Knowledge of numerical simulation methods Experience designing problems that reflect authentic research workflows Creative problem-solving skills across several areas of physics Understanding of physics modeling and approximation techniques Strong written English skills at C1 level or higher Project process Apply Meet qualification criteria Join a project Complete assigned tasks Receive payment Time commitment During active project periods, tasks usually require 10–20 hours per week. Actual workload may vary depending on project needs. Compensation Earnings can reach up to $35 per hour, depending on contribution and pace. Actual rates depend on project scope, complexity, and expertise required. Other projects on the platform may offer different pay rates. Location This freelance, remote role is open to candidates living in Manitoba, 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.

About Sophos Sophos is a global cybersecurity provider, focused on stopping cyberattacks for organizations around the world. After acquiring Secureworks in February 2025, Sophos combined expertise to expand its AI-driven security offerings. Today, Sophos is the largest dedicated Managed Detection and Response (MDR) provider, serving more than 28,000 organizations. The product suite covers endpoint, network, email, and cloud security, all managed through the Sophos Central platform. The addition of Secureworks brings Taegis XDR/MDR, identity threat detection and response (ITDR), advanced SIEM, and advisory services. Together, Sophos and Secureworks protect over 600,000 organizations from phishing, ransomware, data breaches, and state-sponsored threats. The company draws on threat intelligence from Sophos X-Ops and the Counter Threat Unit (CTU). Learn more at www.sophos.com. Role Overview The Senior AI Threat Researcher joins the X-Ops Insights team within the Security organization, reporting directly to the CISO. This role sits at the intersection of applied AI, threat intelligence, and cyber operations. The focus: advancing Sophos’s understanding of how adversaries use and abuse AI technologies, and helping the company stay ahead of emerging risks. What You Will Do Investigate how threat actors use, weaponize, and exploit AI, including LLM-based social engineering, automated vulnerability discovery, and attacks on agentic AI systems. Develop telemetry and detection tools to identify adversarial AI in the field. Assess and track new threats as AI capabilities evolve. Produce original research to inform Sophos and the wider cybersecurity community. Lead efforts to improve operational efficiency across the Insights team by integrating new tools and techniques. Collaborate with the Sr. Manager of Threat Research, CTU researchers, SophosLabs malware analysts, MDR threat hunters, incident responders, engineering, and data science teams. Location This position is based in Canada.

About IdeogramAt Ideogram, we strive to democratize access to world-class design, enhancing human creativity through innovative solutions. Our proprietary generative media models and AI-driven creative workflows are developed to tackle complex challenges in graphic design. Our team, comprised of pioneers in technology, has made significant contributions to fields including Diffusion Models and Google’s Imagen. We are dedicated to producing designs that resonate with creatives, balancing craft and engineering excellence.Having successfully raised nearly $100 million in funding from esteemed investors such as Andreessen Horowitz and Index Ventures, we are rapidly expanding our footprint. With headquarters in Toronto and a growing presence in New York City, we are on a trajectory to triple our team in the coming year. Our flat organizational structure fosters a culture of ownership, collaboration, and mentorship.Discover more about our innovations by exploring Ideogram 3.0, Canvas, and Character. Experience Ideogram firsthand at ideogram.ai.The OpportunityJoin us as a Research Engineer / Research Scientist, where you will advance the development of visual generative models. Your focus will be on large-scale pre-training for our text-to-image foundation models, where you will define objectives, algorithms, data, and systems, transforming innovative concepts into models that drive products utilized by millions. Collaborate with a passionate team of researchers and engineers committed to shaping the future of the creative economy.

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.

Please submit your CV in English, specifying your English proficiency level.At Mindrift, we specialize in connecting talented professionals with exciting project-based AI opportunities across renowned tech companies, dedicated to the testing, evaluation, and enhancement of AI systems. Note that participation is on a project basis and does not constitute permanent employment.Project Involvement Includes:Designing innovative computational physics problems that emulate authentic research workflows;Creating problems that necessitate Python programming for solutions (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring problems are computationally demanding and not solvable manually within practical timeframes (days/weeks);Developing problems that require complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Rooting problems in real research challenges or practical applications from the field of physics;Validating solutions using Python alongside standard physics simulation libraries;Clearly documenting problem statements and providing verified correct answers.Desired Qualifications:This role is ideal for quantum researchers proficient in Python, seeking part-time, non-permanent project opportunities. Preferred candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any specific programming language may be considered equivalent;A minimum of 2 years of professional experience in applied research or teaching;Experience with numerical simulation methodologies;Adeptness in designing problems that reflect genuine physics research workflows;Creative problem design skills spanning various physics domains;Knowledge of physics modeling and approximation techniques;Strong command of written English (C1+ level).Application Process:Apply → Pass qualifications → Join a project → Complete assigned tasks → Receive paymentProject Time Commitment:During active project phases, tasks are estimated to require approximately 10–20 hours per week, contingent on project demands. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $35 per hour, varying with their contribution level and speed. Compensation may differ across projects depending on scope, complexity, and expertise required.

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.

About IdeogramAt Ideogram, we believe in democratizing world-class design, amplifying human creativity through cutting-edge technology. Our proprietary generative media models and AI-driven creative workflows address the most pressing challenges faced in graphic design today. Our team is composed of seasoned innovators with a history of breakthroughs in technology, including pioneering research in Diffusion Models, Google’s Imagen, and Imagen Video. We prioritize design, taste, and craftsmanship alongside research and engineering, delivering experiences that creatives truly cherish.Having secured nearly $100M in funding from prominent investors like Andreessen Horowitz and Index Ventures, our headquarters are located in Toronto, with a rapidly expanding team in New York City. We are on an aggressive scaling trajectory, aiming to triple our workforce in the upcoming year. Our culture is characterized by a flat hierarchy, fostering high ownership, collaboration, and mentorship.Discover more about our innovative features in Ideogram 3.0, Canvas, and Character. Experience Ideogram at ideogram.ai.The OpportunityAs a Research Engineer / Research Scientist, you will spearhead the development of our end-to-end post-training pipeline for text-to-image foundation models. Your role will encompass everything from data strategy to deployment, pushing forward techniques such as Reinforcement Learning from Human Feedback (RLHF), Reinforcement Learning from AI Feedback (RLAIF), and enhancing personalization/customization. You will play a pivotal role in post-training research that yields measurable advancements while implementing and maintaining high-throughput fine-tuning and evaluation pipelines. Join a dynamic team of engineers and researchers dedicated to shaping the future of the creative economy.

We invite you to submit your CV in English and specify your level of English proficiency.At Mindrift, we connect talented professionals with exciting, project-based AI opportunities for prestigious technology companies. Our focus is on evaluating, testing, and enhancing AI systems. Please note that participation is project-based and does not constitute permanent employment.Overview of the Role:Each project presents unique challenges, and as a contributor, you will:Design innovative computational physics problems that replicate authentic physics research workflows.Develop problems necessitating Python programming for solutions (utilizing libraries such as Numpy, SciPy, Sympy).Ensure the problems are computationally intense, requiring extensive time to solve (days or weeks).Create problems that involve complex reasoning in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics.Base problems on genuine research challenges or practical applications in physics.Verify solutions using Python and established physics simulation libraries.Clearly document problem statements and provide verified correct answers.Qualifications We Seek:This opportunity is ideal for physicists experienced in Python who are open to part-time, non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines.Proficiency in Python for numerical validation. Equivalent experience in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or domain-specific libraries is acceptable.A minimum of 2 years of professional experience, which may include applied, research, or teaching roles.Familiarity with numerical simulation techniques.The ability to craft problems that accurately reflect real physics research workflows.Creative problem-solving skills across various physics domains.Knowledge of physics modeling and approximation methods.Excellent written English skills (C1+ level).How the Process Works:Apply → Complete qualifications → Join a project → Perform tasks → Receive payment.Project Commitment:The estimated workload for this project is approximately 10–20 hours per week during active phases, depending on project requirements. This is an estimate and not a guaranteed workload.Compensation Details:Contributors may earn up to $35 per hour, contingent upon their contribution level and pace. Compensation varies by project and is influenced by the scope, complexity, and required expertise.

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.

Join SandboxAQ: Innovators in AI SolutionsSandboxAQ is an exciting high-growth company dedicated to harnessing AI technologies to tackle some of the world's most pressing challenges. Our cutting-edge Large Quantitative Models (LQMs) are pivotal in driving advancements across various fields such as life sciences, financial services, navigation, and cybersecurity.As a part of our dynamic global team, you will collaborate with experts from diverse disciplines, including AI, chemistry, cybersecurity, physics, mathematics, and engineering. Founded in 2022 as an independent entity emerging from Alphabet Inc., SandboxAQ is backed by prominent investors and a braintrust of industry leaders.We are committed to fostering a creative, collaborative, and impactful work environment. By investing in our talented workforce, we aim to empower individuals to address significant global challenges. Join us to elevate your career while contributing to a mission that inspires innovation and transformative change.Your Role: Staff ML Research EngineerThe AI Sim R&D team is at the forefront of developing state-of-the-art machine learning and physics-based models to enhance drug and materials discovery. As a member of our innovative, multidisciplinary team, your work will significantly accelerate the development of new molecules and medicines.In your role as a Staff ML Research Engineer, you will bridge the gap between groundbreaking research and real-world applications, with the goal of establishing in silico design as the primary approach in drug discovery. Your primary responsibilities will include architecting, scaling, and optimizing the scientific codebases that drive our LQMs. In your first year, you will facilitate the transition of impactful prototypes into stable products, manage distributed training pipelines utilizing top-tier GPU infrastructure, and lead hardware-level optimizations to enhance computational chemistry capabilities.

Huawei Canada is excited to announce a permanent opening for an AI Security Researcher.About Our Team:At the forefront of technology, the AnShi Lab is dedicated to pioneering next-generation gateway software architecture with an emphasis on file security and innovative software development. Our team engages in mid- to long-term research aimed at generating high-value patents and directing the evolution of datacom gateways. Our mission is to set industry benchmarks through advanced, cloud-based intelligent software engineering, while nurturing local talent and building a dynamic team of technical experts to enhance both organizational performance and individual capabilities.Position Overview: Collaborate with malware analysts and security stakeholders to delineate problem scopes, establish labeling strategies, and devise evaluation methodologies.Conduct thorough industry and academic research, producing succinct surveys and technical reports.Design and implement advanced machine learning methods (LLM/GNN/ML) for malware and threat classification (e.g., family/behavior classification, malicious vs. benign).Develop scalable data pipelines for effective data ingestion, preprocessing, deduplication, and dataset management.Drive the end-to-end experimentation process: model training, calibration, benchmarking, error analysis, and iterative improvements.Contribute to patents and publications; optional travel for conferences may be required.The target annual compensation for this role ranges from $106,000 to $156,000, depending on educational background, experience, and demonstrated expertise.

Join Huawei Canada as an Intern Researcher in AI Agent Evaluation!The Distributed Scheduling and Data Engine Lab, established in 2014, serves as Huawei Cloud's technical innovation hub in Canada. Our lab is dedicated to pioneering research and development in advanced cloud technologies, facilitating the productization and continual enhancement of our technical breakthroughs. We focus on cutting-edge areas such as cloud-native databases, intelligent SQL engines, LLM/Agent infrastructure, and LLM/Agent Evaluation Technology. Our collaborative environment with industry experts empowers us to build a competitive cloud platform.About the Role:Engage in groundbreaking research aimed at enhancing the capabilities and evaluation methods of large language model-based agents, contributing to the development of the next generation of dependable AI systems.Your focus will be on tackling fundamental challenges associated with deploying AI agents in complex, long-term tasks, particularly in managing context, reasoning under uncertainty, and ensuring consistent behavior.You will employ formal reasoning, causal inference, and theoretical foundations in your research strategies to deeply understand agent behavior across various environments.This position is research-centric, requiring you to define complex problems, conduct thorough experiments, and contribute to publishable findings rather than developing production-ready systems.The ultimate goal is to create principled methods and theoretical underpinnings that drive significant advancements in agent evaluation and autonomous reasoning.

Join Huawei Canada as a Co-op Research Engineer specializing in AI Computing Systems.About Our Team:The Advanced Computing and Storage Lab, part of the Vancouver Research Centre, is dedicated to pioneering adaptive computing system architectures to tackle the challenges posed by dynamic application demands. Our mission includes enhancing the stability and quality of training clusters, developing dynamic configuration strategies, and implementing precision control systems to create robust computing power. We focus on critical AI applications, like large model training and inference, utilizing advanced technologies such as low-precision training, multi-modal training, and reinforcement learning to optimize performance and usability.Position Overview:This role is centered on enhancing the performance, efficiency, and usability of AI systems on the Ascend platform, specifically for large model training and inference. Responsibilities include low-precision training, multimodal optimization, and resource management to mitigate system bottlenecks and deliver cutting-edge AI capabilities.You will design and develop optimization solutions for AI training and inference systems, focusing on FP8 optimization, RL-driven training agents, and next-generation multi-modal understanding and generation.The role requires integration of AI algorithm needs with system-level architectural optimizations in computing, I/O, scheduling, and precision control to elevate performance.You will build stable and efficient AI training clusters by leveraging dynamic configurations and precision control to ensure scalability and reliability.This position involves the development of software frameworks, operator libraries, and acceleration libraries for NPU platforms to expedite large-model AI training.You will drive innovation in optimizing large-model training and inference using strategies like low-precision training and reinforcement learning.

Join Huawei Canada as an AI Computing Systems Researcher and contribute to groundbreaking advancements in AI technology.Team Overview:The Advanced Computing and Storage Lab at the Vancouver Research Centre is dedicated to pioneering adaptive computing architectures that effectively manage the complexities of future application loads. Our mission is to ensure the robustness of training clusters through innovative dynamic configuration strategies and precision control systems, enhancing both stability and efficiency of computational power. We focus on crucial AI industry applications, including large model training and inference, utilizing cutting-edge techniques such as low-precision training and reinforcement learning to analyze bottlenecks and develop optimization solutions.Position Responsibilities:Drive advancements in AI systems on the Ascend platform by enhancing performance, efficiency, and usability tailored for large model training and inference.Design and develop optimization solutions focusing on FP8 optimization, reinforcement learning-driven training agents, and next-generation multi-modal understanding and generation.Integrate AI algorithm requirements with system-level architectural enhancements in computing, I/O, scheduling, and precision control to boost overall system performance.Establish stable and efficient AI training clusters using dynamic configuration and precision control to guarantee scalability and reliability.Create software frameworks, operator libraries, and system-level optimizations for NPU platforms to expedite large-model AI training processes.Lead innovative strategies in optimizing large-model training and inference through low-precision training, parallel strategy tuning, and reinforcement learning techniques.

This 12-month contract role is based in Vancouver, British Columbia, with the Advanced Computing and Storage Lab at Huawei Canada. The team focuses on adaptive computing architectures to support modern AI workloads, aiming to boost the stability and quality of training clusters. Work centers on dynamic configuration strategies and precision control systems that help optimize computing power clusters for AI applications. Role overview The AI Computing Systems Researcher will address challenges in large model training and inference. The lab uses methods such as low-precision training, multi-modal learning, and reinforcement learning to spot bottlenecks and deliver practical optimization solutions for AI systems. What you will do Improve performance, efficiency, and usability of AI systems on the Ascend platform, focusing on industry AI applications. Design and develop optimization solutions for AI training and inference, including FP8 optimization and reinforcement learning-driven training agents. Integrate AI algorithm requirements with system-level architectural improvements in computing, I/O, scheduling, and precision control. Build scalable AI training clusters using dynamic configurations and precision control to enhance reliability. Develop software frameworks, operator libraries, and acceleration libraries for NPU platforms to support large-model AI training. Lead optimization efforts for large-model training and inference using low-precision methods, parallel strategy tuning, and reinforcement learning. This position offers the opportunity to contribute to next-generation AI system capabilities in a collaborative research environment at Huawei Canada.