Deep Learning Compiler Engineer

3 weeks ago

Markham, Canada Huawei Technologies Canada Co., Ltd. Full time

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.

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