Huawei Canada has an immediate permanent opening for a Deep Learning Compiler 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:

• Create customer value by developing new capabilities to improve inference times, optimize memory usage, and other state-of-the-art algorithms. You will use your expertise to drive optimization at both the model and system level.

• Design, develop, and maintain optimized code in C++ and Python to implement and enhance deep learning inference systems. You will contribute to both low-level performance-critical components and appropriate high-level abstractions that define system behavior.

• Drive performance improvements by integrating and optimizing deep learning systems for custom hardware accelerators. Your work will enable significant gains in speed, efficiency, and real-time performance for wireless applications.

• Participate actively in code reviews, providing constructive feedback and ensuring that the codebase remains efficient, scalable, and conducive to high-velocity development. This is a collaborative environment where you’ll both share knowledge and grow from the feedback of your peers.

• Work closely with a team of experienced engineers who will offer mentorship and guidance, allowing you to further refine your skills while contributing to challenging and innovative projects.

About the ideal candidate:

• Undergraduate degree in Computer Science, Software Engineering, or a related field, and up to 5 years of professional experience in software engineering or a closely related domain.

• Proficient in C++ and comfortable with Python.

• Hands-on experience with large software systems and have a strong understanding of algorithms, data structures, and performance profiling techniques.

• Strong problem-solving skills, with the ability to think critically and independently to tackle complex challenges.

• Ability to communicate complex ideas clearly and work effectively with cross-functional teams, enabling you to thrive in a collaborative and fast-paced environment.

• Experience working with deep learning frameworks (such as TensorFlow, PyTorch, or others) and are comfortable optimizing models for specialized hardware, including GPUs, TPUs, or AI accelerators is an asset.