Distinguished Engineer - AI Computing System

Reposted One Month Ago
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2 Locations
In-Office
172K-230K Annually
Senior level
Information Technology • Other
The Role
Lead the development of AI training cluster frameworks and optimization technologies, enhancing efficiency and performance for large model training scenarios.
Summary Generated by Built In

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

About the team:

The Advanced Computing and Storage Lab, currently a part of the Vancouver Research Centre, aims to explore adaptive computing system architectures to address the challenges posed by flexible and variable application loads in the future. It assists in ensuring the stability and quality of training clusters, constructs dynamic cluster configuration strategy solvers, and establishes precision control systems to create stable and efficient computing power clusters. One of the lab's goals is to focus on key industry AI application scenarios such as large model training/inference, based on key technologies like low-precision training, multi-modal training, and reinforcement learning, responsible for bottleneck analysis and the design and development of optimization solutions, thereby improving training and inference performance as well as usability.

About the job:

  • As a leading expert in the industry in the field of training cluster software frameworks and technologies, gain insights into the evolution direction of industry AI large model training frameworks and key features. Plan and layout AI frameworks and software features for scenarios such as large model pre-training, post-training, and integrated training and inference, building key capabilities for the company's training cluster software framework.

  • Focusing on the company's large model training optimization field, lead the team to build key technologies such as low-precision training, parallel strategy tuning, and training resource optimization, promoting the commercial implementation of large model perception optimization-related technologies.

  • Focusing on the company's training servers and super nodes and other products, lead the team to build large model AI training frameworks, operator libraries, acceleration libraries, and other software frameworks and acceleration features, fully leveraging system engineering and software-hardware collaboration capabilities to enhance AI cluster computing efficiency.

  • Identify high-quality academic resources in the direction of large model training, collaborate with domain experts and scholars on projects, layout related standards and patents, support the company's continuous innovation in the training cluster field, and build long-term competitiveness in the AI training cluster direction.

  • Cultivate a team of technical experts and key technical backbone in the direction of AI training cluster frameworks and software optimization. 

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

About the ideal candidate:

  • Major in artificial intelligence, computer science, software, automation, physics, mathematics, electronics, microelectronics, information technology, or related fields, with more than 5 years of R&D experience in large model training and optimization.

  • Proficient in common model structures of large models such as Deepseek and Llama, with deep technical expertise in large model training and inference optimization in fields like LLM, MoE, and multimodal learning.

  • Familiar with the hardware architecture and programming systems of AI accelerators such as GPU and NPU, with experience in optimizing AI systems with software-hardware-cores collaboration.

  • Familiar with cluster computing and cloud computing fields, with experience in software architecture design for cluster scheduling.

  • Enjoys research, has strong learning ability, good communication skills, and teamwork ability.

Skills Required

  • Major in artificial intelligence, computer science, or related fields
  • More than 5 years of R&D experience in large model training and optimization
  • Proficient in common model structures like Deepseek and Llama
  • Experience in optimizing AI systems with software-hardware collaboration
  • Familiar with cluster computing and cloud computing
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The Company
HQ: Sham Chun Hu
1,770 Employees
Year Founded: 1987

What We Do

Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. We have approximately 197,000 employees and we operate in over 170 countries and regions, serving more than three billion people around the world. In Canada, Huawei conducts innovative and leading edge research in 5G technologies, along with advanced development of emerging cloud, device and network technologies & services. While our renowned Canada Research Centre in the thriving technology landscape of Ottawa, Ontario continues to grow rapidly in size and strategic product initiatives, additional presence has also been established across Canada with R&D facilities in Vancouver, Edmonton, Waterloo, Markham, Montreal, and a R&D office in Quebec City.

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