Deep Learning Compiler Engineer

4 days ago

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

Huawei Canada has an immediate 12-month contract 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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