Huawei Canada has an immediate permanent opening for a Compiler Engineer.
About the team:
The Heterogeneous Compiler Lab, led by esteemed technical experts with extensive industry and academic experience, publishes innovative research at leading conferences. Recognized as key contributors to the LLVM Compiler Infrastructure project, this lab excels in developing diversified IP compiler collaborations, focusing on AI, GPU, and CPU architectures. Our efforts include heterogeneous compilation technology and SW-HW co-design, optimizing for AI, graphics, games, and mobile applications while tackling technological challenges through open-source community.
About the job:
Design, develop, and test software to satisfy business requirements in a wide range of products, possibly including (but not limited to):
Compilers targeting next-generation mobile, network, or server hardware;
Language runtimes for new programming languages;
System-level optimization of deep learning frameworks;
Concurrent programming frameworks and distributed systems that can scale from embedded devices to cloud services.
Analyze and optimize software system performance.
Actively participate in scrums and project planning; be a team player.
Learn and adopt new technologies; research, survey, and present industry trends to the team.
The total target annual compensation for this position ranges from $106,000 to $156,000 depending on education, experience, and demonstrated expertise.
About the ideal candidate:
2-5 years of experience in compiler development.
Solid grasp of fundamental concepts related to system design, such as data structures, algorithms, and operating systems.
Knowledge of LLVM and MLIR compiler infrastructures, with experience in writing passes, dialects, and analytical cost models.
Experience with compiler stacks and a solid understanding of LLM architectures, attention mechanisms, GPU, CPU, HPC, gaming, mobile systems, and heterogeneous systems.
Understanding of modern heterogeneous architectures and familiarity with ISA design, memory models and advanced compute paradigms.
Proficient in C++ programming and experience with PyTorch, TensorFlow, JAX, OpenCL, Vulkan, OpenGL, and SYCL.
Education: Bachelor’s, Master’s, or Ph.D. in Computer Science, Computer Engineering, or a related field.
Additional Information:
Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.
All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.
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