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:
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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.
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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.
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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.
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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.
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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:
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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.
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Proficient in C++ and comfortable with Python.
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Hands-on experience with large software systems and have a strong
understanding of algorithms, data structures, and performance profiling
techniques.
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Strong problem-solving skills, with the ability to think critically and
independently to tackle complex challenges.
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Ability to communicate complex ideas clearly and work effectively with
cross-functional teams, enabling you to thrive in a collaborative and
fast-paced environment.
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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.
