Our team has an immediate 12-month internship opening for an Assistant Engineer.\n

Responsibilities:
\n
  • Assist in developing and maintaining performance monitoring tools.
  • Support profiling and analyzing inference workloads to identify performance bottlenecks.
  • Contribute to applying optimization techniques such as quantization, kernel fusion, and pruning to enhance inference performance under the guidance of senior engineers.
  • Help optimize AI workloads across multiple hardware platforms (e.g., GPUs, edge devices).
  • Collaborate with senior engineers, research teams, and AI infrastructure teams to integrate optimizations into AI inference pipelines.
  • Learn to utilize profiling tools such as TensorBoard, PyTorch Profiler, and NVIDIA Nsight to identify key performance insights.

    What you’ll bring to the team:\n

      \n
    • Currently pursuing or recently graduated with a Bachelor's or Master’s degree in Computer Science, Electrical Engineering, AI/ML, or a related field.\n
    • Familiarity with programming languages like Python or C++.\n
    • Basic knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch) and AI inference.\n
    • Strong background in profiling and performance analysis tools.\n
    • Strong analytical and problem-solving skills with an eagerness to learn.\n","employmentType":"INTERN","hiringOrganization":{"@type":"Organization","logo":"https://careers.recruiteecdn.com/image/upload/production/images/Ak1b/uZt-2vioPmqZ.png","name":"Huawei Technologies Canada Co., Ltd."},"identifier":{"@type":"PropertyValue","name":"Huawei Technologies Canada Co., Ltd.","value":1890575},"jobLocation":[{"@type":"Place","address":{"@type":"PostalAddress","addressCountry":"CA","addressLocality":"Waterloo","addressRegion":"ON","postalCode":"N2L 0A4","streetAddress":"300 Hagey Blvd"}}],"jobLocationType":null,"title":"Intern Assistant Engineer - AI Inference Performance","validThrough":null}
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      English

      Intern Assistant Engineer - AI Inference Performance

        • Waterloo, Ontario
      • wms6e

      Job description

      Our team has an immediate 12-month internship opening for an Assistant Engineer.

      Responsibilities:
      • Assist in developing and maintaining performance monitoring tools.
      • Support profiling and analyzing inference workloads to identify performance bottlenecks.
      • Contribute to applying optimization techniques such as quantization, kernel fusion, and pruning to enhance inference performance under the guidance of senior engineers.
      • Help optimize AI workloads across multiple hardware platforms (e.g., GPUs, edge devices).
      • Collaborate with senior engineers, research teams, and AI infrastructure teams to integrate optimizations into AI inference pipelines.
      • Learn to utilize profiling tools such as TensorBoard, PyTorch Profiler, and NVIDIA Nsight to identify key performance insights.

      Job requirements

      What you’ll bring to the team:

      • Currently pursuing or recently graduated with a Bachelor's or Master’s degree in Computer Science, Electrical Engineering, AI/ML, or a related field.
      • Familiarity with programming languages like Python or C++.
      • Basic knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch) and AI inference.
      • Strong background in profiling and performance analysis tools.
      • Strong analytical and problem-solving skills with an eagerness to learn.

      or