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Researcher Distributed AI Computing

2 months ago

Markham, Ontario, Canada Huawei Technologies Canada Co., Ltd. Full time
Job Title: Researcher Distributed AI Computing

We are seeking a highly skilled Researcher to join our team at Huawei Technologies Canada Co., Ltd. in the field of Distributed AI Computing. The successful candidate will be responsible for conducting cutting-edge research in AI and computing, with a focus on distributed computing and associated techniques.

Responsibilities:
  • Conduct research on next-generation emerging technologies related to AI and computing, survey the latest trends on a regular basis, and understand the technology evolution roadmap.
  • Propose innovative architectures and algorithms to optimize distributed computing, considering scalability and efficiency.
  • Model AI performance across various parallelization techniques and network topologies, with a strong focus on different architectures, including Transformers, State Space Models (SSMs), and Retrieval Augmented Generation (RAG).
  • Conduct cutting-edge research on reinforcement learning, particularly its applications in multi-agent systems and distributed AI models.
  • Evaluate and enhance AI performance under different parallelization strategies and network topologies.
  • Explore and innovate at the intersection of AI algorithms and hardware, focusing on hardware-aware model optimization and efficient computation.
  • Study the industry's competitive landscape to learn the latest technical trends and to create insight.
  • Proactively work to achieve challenging goals and create IP by innovative designs and architectures. Produce detailed documentation, technical reviews.
Requirements:
  • PhD in Electrical Engineering, Computer Science or relevant discipline with at least 2 years of relevant experience.
  • Deep knowledge of large generative and foundational AI models.
  • Advanced knowledge of distributed computing and associated techniques including model, data, and pipeline parallelization.
  • Strong understanding of the theory of deep neural networks (DNN), including their dynamics, stability, and learning algorithms.
  • Proficiency in designing and implementing algorithms related to Transformers, State Space Models (SSMs), and Neural ODEs.
  • Excellent programming skills (Python/C).
  • Motivated self-starter with excellent communication skills in written and spoken English.
  • Good teamwork spirit and adaptability.
  • Thrive in a dynamic, innovative, and research-oriented environment focused on prototyping.