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Co-op: Deep Learning Inference & Compiler Engineer

Huawei Technologies Canada Co., Ltd.

Markham

On-site

CAD 100,000 - 125,000

Full time

30+ days ago

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Job summary

A leading technology firm in York Region, Markham, is offering a 12-16 month Co-op opportunity for a Software Engineer. The role focuses on profiling and analyzing deep learning models, optimizing code in C++ and Python, and integrating hardware accelerators. Ideal candidates are pursuing a degree in Computer Science or Software Engineering and have strong problem-solving skills. This position provides hands-on experience in a collaborative environment with mentorship from seasoned engineers.

Qualifications

  • Currently pursuing a degree in Computer Science, Software Engineering, or a related field.
  • Experience and proficiency in C++ and Python.
  • Solid understanding of computer science fundamentals, such as algorithms and data structures.
  • Excellent problem-solving skills and the ability to work independently and in a team.
  • Strong communication skills and a passion for learning and contributing to innovative projects.

Responsibilities

  • Profile and analyze deep learning models to identify and resolve bottlenecks.
  • Design, develop, and maintain optimized code in C++ and Python.
  • Support the integration of specialized hardware accelerators.
  • Participate in code reviews, providing constructive feedback.
  • Work alongside experienced engineers for guidance and mentorship.

Skills

C++
Python
Algorithms
Data structures
Problem-solving

Education

Pursuing a degree in Computer Science or Software Engineering
Job description
A leading technology firm in York Region, Markham, is offering a 12-16 month Co-op opportunity for a Software Engineer. The role focuses on profiling and analyzing deep learning models, optimizing code in C++ and Python, and integrating hardware accelerators. Ideal candidates are pursuing a degree in Computer Science or Software Engineering and have strong problem-solving skills. This position provides hands-on experience in a collaborative environment with mentorship from seasoned engineers.
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