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Senior Researcher - Efficient AI Foundation Model Development

Huawei Technologies Canada Co., Ltd.Markham, Ontario, Canada
On-site Full-time

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Experience Level

Senior

Qualifications

Ideal Candidate Profile:Proven experience in training and optimizing state-of-the-art AI models and applications, particularly those exceeding 10 billion parameters. Expertise in contemporary AI architectures (including long-sequence models, reinforcement learning, multimodal approaches, and agent-based systems), along with a deep understanding of AI algorithm mechanics. Strong proficiency in the underlying implementations of AI frameworks (such as PyTorch, vLLM, and SGLang), as well as familiarity with mainstream distributed training and inference techniques. Knowledge of AI chip architectures (including GPU, NPU, and TPU) is essential, with an understanding of memory hierarchies and interconnect technologies considered a plus. Doctorate in AI architecture, computer architecture, or a related field is highly preferred.

About the job

Huawei Canada is actively seeking a Senior Researcher to join our innovative team.

Team Overview:

Our Computing Data Application Acceleration Lab is dedicated to establishing a premier global data analytics platform, segmented into three specialized teams leveraging cutting-edge programming technologies. This particular team is committed to full-stack innovations, focusing on software-hardware co-design and optimizing data efficiency across both storage and runtime levels. Furthermore, we are pioneering next-generation GPU architectures for applications in gaming, cloud rendering, VR/AR, and the Metaverse.

Our lab's mission is to enhance algorithm performance and training efficiency across various industries, ensuring sustained competitiveness.

Role Description:

  • Collaborate with both internal and external teams to spearhead the design of foundational model architectures across LLM, code, and multimodal subfields, achieving breakthroughs in post-training and continual training. Your goal will be to develop a foundational model that excels in performance and hardware efficiency, making a significant impact in the industry.

  • Define the technical specifications necessary for large-scale distributed training and inference infrastructures, including parallelization and operator fusion. Analyze the computational characteristics of standard architectures to ensure the accuracy and advancement of AI hardware and infrastructure evolution.

About Huawei Technologies Canada Co., Ltd.

Huawei Technologies Canada Co., Ltd. is a global leader in ICT solutions and smart devices, committed to driving digital transformation through innovative technology, research, and development.

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