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Distinguished Engineer - AI Computing System
Distinguished Engineer - AI Computing SystemHuawei Canada • Markham, York Region, CA
Distinguished Engineer - AI Computing System

Distinguished Engineer - AI Computing System

Huawei Canada • Markham, York Region, CA
Il y a plus de 30 jours
Type de contrat
  • Temps plein
  • Permanent
Description de poste

Join to apply for the Distinguished Engineer - AI Computing System role at Huawei Canada .

Huawei Canada has an immediate permanent opening for a Distinguished Engineer - AI Computing System .

About the Job :

  • Lead in training cluster software frameworks and technologies, focusing on large model training frameworks and key features for scenarios such as pre-training, post-training, and integrated training and inference.
  • Drive the company's large model training optimization efforts, leading the development of low-precision training, parallel strategy tuning, and resource optimization to promote commercial implementation.
  • Oversee the development of large model AI training frameworks, operator libraries, and acceleration features for training servers and super nodes, enhancing AI cluster computing efficiency.
  • Identify and collaborate on academic resources, standards, and patents in the large model training domain to support ongoing innovation and build long-term competitiveness.
  • Cultivate a team of technical experts and key personnel in AI training cluster frameworks and software optimization.

The base salary ranges from $172,000 to $230,000, depending on education, experience, and expertise.

Job Requirements :

  • Major in AI, computer science, software, automation, physics, mathematics, electronics, microelectronics, IT, or related fields, with over 5 years of R&D experience in large model training and optimization.
  • Proficient in large model structures like Deepseek and Llama, with deep expertise in training and inference optimization for fields like LLM, MoE, and multimodal learning.
  • Familiar with AI hardware architectures such as GPU and NPU, with experience in optimizing AI systems through software-hardware collaboration.
  • Experience in cluster and cloud computing, including software architecture design for cluster scheduling.
  • Strong research interest, learning ability, communication skills, and teamwork.
  • Additional Details :

  • Seniority level : Mid-Senior level
  • Employment type : Full-time
  • Job function : Engineering and IT
  • Industry : Telecommunications
  • #J-18808-Ljbffr

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