Co-op Software Engineer - Deep Learning Compiler Development

Huawei Technologies Canada Co., Ltd.; Markham; On-site; CAD 35,000 - 50,000; Full time

Job summary

A leading technology company has an immediate co-op opening for a Software Engineer in Markham, Canada. The role involves profiling deep learning models, designing optimized code in C++ and Python, and supporting hardware integration. Ideal candidates are pursuing a degree in Computer Science or Software Engineering and have proficiency in C++ and Python. This position offers an opportunity for mentorship and skill development.

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 resolve bottlenecks in inference process.
• Design, develop, and maintain optimized code in C++ and Python.
• Support integration and optimization of specialized hardware accelerators.
• Participate in code reviews, providing constructive feedback.
• Work alongside experienced engineers for guidance and mentorship.

Skills

C++

Python

Problem-solving

Communication

Education

Degree in Computer Science or Software Engineering

Job description

Overview

Huawei Canada has an immediate co-op opening for a Software Engineer.

About the team

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 both 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.

Ideal candidate

• 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.