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Senior Engineer - Large Model and Training System Performance Optimization
Senior Engineer - Large Model and Training System Performance OptimizationHuawei Canada • Vancouver, Metro Vancouver Regional District, CA
Senior Engineer - Large Model and Training System Performance Optimization

Senior Engineer - Large Model and Training System Performance Optimization

Huawei Canada • Vancouver, Metro Vancouver Regional District, CA
30+ days ago
Job type
  • Full-time
  • Permanent
Job description

Senior Engineer - Large Model and Training System Performance Optimization

Join to apply for the Senior Engineer - Large Model and Training System Performance Optimization role at Huawei Canada

Senior Engineer - Large Model and Training System Performance Optimization

4 weeks ago Be among the first 25 applicants

Join to apply for the Senior Engineer - Large Model and Training System Performance Optimization role at Huawei Canada

Huawei Canada has an immediate permanent opening for a Senior Engineer.

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 :

  • Track the trend of AI theory and technology development in the world and generate research report and proposals for promoting Ascend system accordingly.
  • Lead or participate in research of algorithms in accelerating the training of the market-driven AI models (CV / NLP / GNN / …), reaching / exceeding the state of the art accuracy, and develop a proof of concept of the algorithms. Those algorithms include but are not limited to the following : optimizers, loss functions, new model architecture, mix precision, model compression, learning technologies (e.g., meta-learning), etc.
  • Publish relevant high-quality AI research papers when necessary and approved, and attend conferences for increasing public awareness of Huawei’s Ascend products; file high-value patents on critical algorithms / processes that are of potential business gain.
  • Team up with other departments / teams from Huawei’s global research centers for collaboration.
  • Assist the team lead on the planning of projects and definition of technology / products development road map.

The base salary for this position ranges from $121,000 to $230,000 depending on education, experience and demonstrated expertise.

Job requirements

About The Ideal Candidate:

  • Master’s or PhD in Computer Science, Math / Statistics, with a focus on AI & Deep Learning.
  • 2+ years of working experience in optimizing the performance of training deep learning models and / or their applications in domains such as CV, NLP, or GNN. A proactive attitude with a strong ability to tackle challenges and adapt to evolving requirements and dynamic work environment
  • Excellent documentation skills for writing internal reports and / or publishing research papers. Effective communication skills for presentations to internal and external audiences.
  • Working knowledge of AI accelerators or full-stack AI acceleration systems and Deep Reinforcement Learning.
  • Hands-on experience with veRL or Ray for large-scale model training.
  • Familiarity with processor architectures and relevant work experience, with hands-on expertise in designing and developing complex system software architectures, and experience in performance optimization on GPU / NPU or similar hardware platforms.
  • Solid understanding of deep learning fundamentals, proficiency with the PyTorch framework, and practical experience in performance optimization using upper-layer distributed frameworks such as Megatron or DeepSpeed.
  • Strong programming skills with proficiency in C / C++ and Python.
  • Experience using performance analysis tools such as Nsight Systems, Nsight Compute, and DLProf.
  • Seniority level

    Seniority level

    Mid-Senior level

    Employment type

    Employment type

    Full-time

    Job function

    Job function

    Engineering and Information Technology

    Industries

    Telecommunications

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