Posted: 3 hours ago
Job Description
<p><strong><span ><span >Huawei Canada has an immediate 12-month contract opening for a Deep Learning Compiler Engineer.</span></span></strong></p><p ></p><p ><strong><span ><span >About the team:</span></span></strong></p><p><span >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.</span></p><p ></p><p ><strong><span ><span >About the job:</span></span></strong></p><ul><li><p><span >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.</span></p></li><li><p><span >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.</span></p></li><li><p><span >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.</span></p></li><li><p><span >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.</span></p></li><li><p><span >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.</span></p></li></ul>
