Senior Model Development Engineer

4 weeks ago


Kingston, Ontario, Canada Huawei Technologies Canada Co., Ltd. Full time
Senior Engineer - Modeling and Infrastructure

We are seeking a highly skilled Senior Engineer to join our team at Huawei Technologies Canada Co., Ltd. in a permanent role.

Responsibilities:
  • Design, implement, and assess application programming APIs, frameworks, and runtime systems software for heterogeneous architectures (e.g., GPU, NPU).
  • Research, prototype, and build core infrastructure, tooling, and platforms to improve the productivity, quality, and efficiency of engineering and serving foundation model applications.
  • Support the integration process of novel software frameworks on in-house hardware platforms (e.g., performance modeling, analysis of future computing architectures, resource allocation and management, scheduling, fault tolerance and resiliency, communication and shared memory).
  • Collaborate with top researchers and students, consult with Engineering teams across diverse domains, publish research papers in far-reaching and impactful areas, and submit patent applications for novel inventions.
Requirements:
  • Master or PhD Degree in Computer Science, Electrical & Computer Engineering, Machine Learning, or relevant domains.
  • Solid experience with one or more of the following programming languages: Python/C/C++/Go.
  • Familiarity with software development practices (version management, build management, CI/CD, debugging and profiling).
  • Solid understanding in any of these areas: Machine Learning and/or Deep Learning, Large Models Training and Finetuning (e.g., NLP/CV).
  • Experience with mainstream model training and inference frameworks and tools (e.g., PyTorch, Tensorflow, PaddlePaddle, Oneflow, MindSpore, HuggingFace Transformer&Accelerate, DeepSpeed, Megatron, FasterTransformer, Triton Inference).
  • Solid understanding in Computer Architecture, Distributed Computing, Parallel Computing, Cloud Native, Operating Systems, Networks.

We are looking for a candidate with an inquisitive mindset, proven research and communication skills, who can conduct investigations and experiments independently, and can interpret experiment data and present results clearly and concisely.

Prior experience with publications in related top-tier venues (e.g., ICSE, FSE, TSE, ICLR, ICML, NeurIPS, OSDI, SOSP) is an asset.



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