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Business Intelligence Specialist (with Qlik and/or C# experience)
Markham, Ontario, Canada · On-site
Mid level
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$127k–$225k/yr
Contract
postgraduate degree
Posted 13d ago
~40 hrs/week
Responsibilities
The Research Engineer will track the evolution of state-of-the-art AI model architectures and analyze computational characteristics of Agentic AI workloads. They will also develop systematic frameworks to map AI applications to hardware requirements and provide quantitative architectural recommendations for next-generation AI accelerators.
Requirements
The ideal candidate possesses a strong understanding of modern AI model architectures, AI accelerator hardware, and hands-on experience with kernel development and inference systems. A Ph.D. in a relevant field and demonstrated research contributions are considered significant assets.
Full job description
Huawei Canada has an immediate 12-month contract opening for a Researcher.
About the team:
The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using innovative programming technologies. This team focuses on full-stack innovations, including software-hardware co-design and optimizing data efficiency at both the storage and runtime layers. This team also develops next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications.
One of the goals of this lab are to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.
About the job:
Frontier AI Technology Research
Track the evolution of state-of-the-art AI model architectures, including Large Language Models (LLMs), Vision Language Models (VLMs), advanced attention mechanisms, and Mixture-of-Experts (MoE) architectures.
Analyze the computational characteristics of emerging model architectures and Agentic AI training and inference workloads.
Hardware-Oriented Workload Analysis
Develop a systematic framework to map AI applications and workloads to hardware requirements.
Evaluate the impact of algorithmic and hardware innovations on system performance, and provide quantitative, explainable architectural recommendations for next-generation AI accelerators.
The total target annual compensation (based on 2,080 hours per year) for this position ranges from $127,000 to $225,000 depending on education, experience, and demonstrated expertise.
About the ideal candidate:
Strong understanding of modern AI model architectures and emerging trends, including sparse attention, linear attention, Mixture-of-Experts (MoE), and related techniques.
Solid knowledge of AI accelerator architectures (e.g., GPUs, TPUs), with deep understanding of memory hierarchy, interconnect technologies, and hardware performance bottlenecks.
Hands-on experience with AI kernel development using technologies such as Triton, TileLang, CUDA, or equivalent. Strong understanding of FlashAttention and other state-of-the-art kernel optimization techniques.
Experience with modern LLM inference systems and optimizations, including vLLM, SGLang, or similar serving frameworks. Familiarity with the internals of deep learning frameworks such as PyTorch and JAX.
Experience using hardware performance analysis and profiling tools, with the ability to develop Roofline-based performance analysis methodologies and tools.
Ph.D. in Artificial Intelligence, Computer Architecture, Computer Systems, or a closely related field is an asset.
Demonstrated research contributions through publications or influential open-source projects in AI infrastructure, systems, or computer architecture is an asset.
Experience deploying and optimizing large-scale AI training or inference systems in production environments is an asset.
Additional Information:
Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.
All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.
Related keywords
AI WorkloadSystems EngineeringLarge Language ModelsVision Language ModelsMixture-of-ExpertsGPUTPUMemory HierarchyInterconnect TechnologiesHardware PerformanceInference DeploymentAI InfrastructureComputer ArchitectureDeep Learning FrameworksPerformance ModelingCloud Rendering
Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. We have approximately 197,000 employees and we operate in over 170 countries and regions, serving more than three billion people around the world.
In Canada, Huawei conducts innovative and leading edge research in 5G technologies, along with advanced development of emerging cloud, device and network technologies & services. While our renowned Canada Research Centre in the thriving technology landscape of Ottawa, Ontario continues to grow rapidly in size and strategic product initiatives, additional presence has also been established across Canada with R&D facilities in Vancouver, Edmonton, Waterloo, Markham, Montreal, and a R&D office in Quebec City.
Offices: 19 Allstate Pkwy, Markham, Ontario L3R 5A4, CA · 303 Terry Fox Dr, Suite 400, Canada . Ottawa R&D Centre, Ontario K2K 3J1, CA · 300 Hagey Blvd, Waterloo, Ontario N2L 0A4, CA · 4321 Still Creek Dr, Burnaby, British Columbia V5C 6S7, CA · 7101 Avenue du Parc, Montreal, Quebec H3N 1X9, CA
How many Data & Analytics jobs are open in Markham, Canada right now?
There are currently 140 open data & analytics positions in Markham, Canada listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Markham, Canada?
Companies currently hiring include Enercare Inc., Aviva, Adastra, CAA Club Group, Huawei Canada, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Markham, Canada?
Yes — 70 of the 140 open data & analytics positions offer remote or hybrid work (1 remote, 69 hybrid).
How do I apply for Data & Analytics jobs in Markham, Canada?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.