- Search jobs
- Markham, ON
- data architect
Data architect Jobs in Markham, ON
Create a job alert for this search
Data architect • markham on
Principal Architect – Hardware Efficient AI Foundation Model Training
Huawei Technologies Canada Co., Ltd.Markham, Ontario, CARemote Senior Data Scientist - AI Trainer
SuperAnnotateWillowdale, Ontario, CA- Promoted
Data Entry Clerk Work From Home - Part-Time Focus Group Participants (Up To $850/Week)
Apex Focus Group Inc.Stouffville, ON, CanadaSolutions Architect
ScotiabankScarborough, ON, CAAssistant Professor - Computational Biology and Data Science
University of TorontoScarborough, ON, CAOracle DBA - RAC, Data Guard, AWS RDS, Redshift
Astra North Infoteck Inc.Scarborough, ON, caBig Data Architect
BMO Financial GroupScarborough, ONRemote Data Entry Clerk
FocusGroupPanelMarkham, Ontario, Canada- Promoted
Data Architecture & Governance Advisor - Spanish Required
Cuso InternationalVaughan, OntarioSenior Product Development Engineer – Liquid Cooling
Amphenol HSIOMarkham, ON, CASenior Data Architect/ Modeller
Randstad CanadaNorth York, Ontario, CADSP Engineer (Markham)
Evertz Microsystems LimitedMarkham, ON, CASenior Data Architect
StantecMarkham, ON- Promoted
Microsoft Architect
Vaco by HighspringRichmond Hill, ON, CASoC Architect
Advanced Micro Devices, IncMarkham, Ontario, CanadaProduct Data Lead
LGC GroupVaughan, Ontario, CanadaData Center Technician Canada Onsite
RM Staffing B.V.North York, MB, CASenior Cloud Consultant
1110 Kyndryl Canada LimitedCAMARK5 Markham- Cambridge, ON (from $ 151,493 to $ 193,534 year)
- London, ON (from $ 121,304 to $ 165,645 year)
- Markham, ON (from $ 112,125 to $ 163,139 year)
- Halifax, NS (from $ 108,553 to $ 160,651 year)
- New Westminster, BC (from $ 112,125 to $ 156,965 year)
- Saint-Jerome, QC (from $ 85,206 to $ 156,965 year)
- Saint-Laurent, QC (from $ 85,206 to $ 156,965 year)
- Cote-Saint-Luc, QC (from $ 85,206 to $ 156,965 year)
- Victoria, BC (from $ 77,870 to $ 156,614 year)
- Saint-Lin-Laurentides, QC (from $ 85,206 to $ 156,594 year)
Popular searches
Principal Architect – Hardware Efficient AI Foundation Model Training
Huawei Technologies Canada Co., Ltd.Markham, Ontario, CA- Full-time
- Permanent
Job description
Huawei Canada has an immediate permanent opening for a Principal Architect.
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:
Collaborate with internal and external organizations to lead the design of foundational model architecture for LLM/Code/Multimodal subfields by breakthroughs in post-training and continual training. Develop a foundational model with state-of-the-art performance and hardware efficiency, and establish industry impact.
Propose the technical requirements for large-scale distributed training and inference infrastructures such as parallelization and operator fusion, analyze the computational characteristics of typical architectures, and ensure the accuracy and advancement of AI hardware & infrastructure evolution.
Job requirements
About the ideal candidate:
Experience in training and optimizing cutting-edge AI models/applications, especially in training and deploying AI models at a scale of 10B+ parameters.
Proficiency in the latest AI architecture (such as long-sequence, reinforcement learning, multimodal, and agents). Deep understanding of AI algorithm mechanisms.
Solid command of the underlying implementation of AI frameworks (such as PyTorch, vLLM, and SGLang), and mainstream distributed training and inference techniques.
Familiarity with AI chip architecture (such as GPU, NPU, and TPU). Understanding of memory hierarchy and interconnect technologies is an asset.
PhD preferred in AI architecture, computer architecture, or related fields.
Solid publication records in the field of AI systems or chip design are an asset.