Senior Software Engineer for Foundation Models

3 weeks ago

Kingston, Ontario, Canada Huawei Technologies Canada Co., Ltd. Full time
Job Title: Senior Engineer Foundation Models

Our team at Huawei Technologies Canada Co., Ltd. is seeking a highly skilled Senior Engineer to join our Foundation Models team. As a key member of our team, you will be responsible for designing, implementing, and assessing application programming APIs, frameworks, and runtime systems software for heterogeneous architectures.

Responsibilities:
  • Research and prototype core infrastructure, tooling, and platforms to improve the productivity, quality, and efficiency of engineering and serving foundation model applications.
  • Design and implement application programming APIs, frameworks, and runtime systems software for heterogeneous architectures, including GPU, NPU, and machine learning systems.
  • Support the integration process of novel software frameworks on in-house hardware platforms, including 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 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.
  • Solid understanding in any of these areas: Machine Learning and/or Deep Learning, Large Models Training and Finetuning.
  • Experience with mainstream model training and inference frameworks and tools, including 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.
  • Ability to evaluate, apply, and mature published research to real-world problems on prototype systems.
  • Proven research and communication skills, ability to conduct investigations and experiments independently, and interpret experiment data and present results clearly and concisely.
  • Publications in related top-tier venues is an asset.

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