Co-op Software Engineer - Deep Learning Compiler Development
Job in
Markham, Ontario, Canada
Listed on 2025-12-27
Listing for:
Huawei Technologies Canada Co., Ltd.
Contract
position Listed on 2025-12-27
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, Software Engineer, AI Engineer
Job Description & How to Apply Below
About the team:
Huawei Canada has a 12-16-month Co-op opening for a Software Engineer.
Initially founded in 1991 as Huawei's ASIC Design Center, the IC Lab is a leading global fabless semiconductor lab. This lab delivers trusted, cutting-edge semiconductor products and services for smart devices, contributing to smart home and mobility solutions. The local team in Canada specializes in semiconductors, and chipset solutions.
About the job:- Profile and analyze deep learning models to identify and resolve bottlenecks in the inference process with the end goal of increasing wireless application performance.
- Design, develop, and maintain optimized code in C++ and Python for the low-level and high-level components of deep learning inference systems.
- Support the integration and optimization of specialized hardware accelerators (such as GPUs, TPUs, or AI-specific chips), driving improvements in speed, efficiency, and real-time performance for wireless applications.
- Participate in code reviews, providing constructive feedback to ensure high-quality, maintainable, and reliable code while learning from experienced engineers.
- Work alongside a team of experienced engineers who will provide guidance, coaching, and mentorship, helping you grow your skills and increase your impact.
- 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.
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