- 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.
- 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.
- Work in company
Senior Researcher – Hardware Efficient AI Foundation Model Training
Only for registered members
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Senior Researcher – Hardware Efficient AI Foundation Model Training - Markham - Huawei
Description
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
About the ideal candidate
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Senior Researcher – Hardware Efficient AI Foundation Model Training
Only for registered members Markham
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AI/ML Engineer – Model Training
Only for registered members Toronto
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C++ Machine Learning Engineer, Models Training
Full time Only for registered members Toronto
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C++ Machine Learning Engineer, Models Training
Only for registered members Toronto
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Principal Engineer
Only for registered members Markham, Ontario
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Research Scientist
Only for registered members Markham, ON
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Member of Technical Staff, AI Models Research
Only for registered members Markham, Ontario
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Senior Researcher – Vision-Language Models
Only for registered members Markham, Ontario
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Researcher - LLMs
Only for registered members Markham, Ontario
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Senior Manager, Machine Intelligence
Only for registered members Markham, Ontario
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Senior Manager, Machine Intelligence
Only for registered members Markham, Ontario
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Intern Researcher
Only for registered members Markham, Ontario
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Researcher - Efficient Architecture for LLMs
Only for registered members Markham, Ontario
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Senior Data Engineer
Only for registered members Markham, ON
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Machine Learning Lead, Edge AI Inferencing
Full time Only for registered members Markham
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Market and Model Risk Manager
Only for registered members Markham, Ontario
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Embedded Software Engineer
Only for registered members Markham, Ontario
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Senior Development Application Engineer
Only for registered members Markham, Ontario
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Presales Solutions Architect
Only for registered members Markham, Ontario
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Presales Solutions Architect
Only for registered members Markham
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Strategic Revenue Builder – Remote Opportunity
Only for registered members Markham, Ontario
