Jobs at Huawei Canada

The role involves optimizing AI training and inference systems, focusing on low-precision training, reinforcement learning, and developing software frameworks for AI accelerators to enhance performance and scalability.

This role involves optimizing AI systems for large model training and inference, focusing on performance, efficiency, and usability using low-precision training and reinforcement learning techniques.

Conduct AI/ML literature and technology trend research, produce technology reports, evaluate and recommend cutting-edge AI/ML methods, collaborate with cross-functional teams to plan and implement AI projects, and promote innovation and continuous improvement within the AI/ML team.

Develop and propose enhancements to graphics API specifications (Vulkan, OpenGL, WebGL/WebGPU, SPIR-V, glTF), apply computer graphics and GPU computing techniques, engage in KHRONOS/W3C standard activities, and contribute ML and parallel computing expertise with a strong publication record.

Develop and optimize RL post-training pipelines for LLMs, run experiments to improve performance and alignment, build scalable training/evaluation/data-generation systems, and collaborate with researchers and engineers on cutting-edge LLM projects while staying current with RL and post-training research.

The Co-op Software Engineer will work on AI infrastructure projects, optimizing systems for scalability and performance while collaborating with teams.

The researcher will analyze and improve the network gateway performance using parallel algorithms on hybrid CPU/GPU systems, implementing solutions in C/C++ and optimizing for production. Collaboration on patents and academic publications is expected.

The Researcher will explore graphics and rendering algorithms, optimize mobile platforms, build prototypes, and collaborate with internal R&D teams.

Lead the development of AI training cluster frameworks and optimization technologies, enhancing efficiency and performance for large model training scenarios.

The role involves conducting research in graphics technology, applying machine learning solutions in real-world applications, and publishing high-quality papers or patents.

The role involves leading the development of rendering systems, mentoring team members, and optimizing key features for rendering engines, focusing on advanced techniques for real-time 3D rendering.

Design and develop real-time rendering systems, optimize GPU/CPU performance, and research graphics algorithms for 3D applications.

The intern researcher will optimize AI systems, develop solutions for training and inference, and improve performance on the Ascend platform, focusing on multimodal and reinforcement learning strategies.

The role involves conducting research on AI security, designing LLM approaches for malware classification, and building scalable data pipelines.

Lead architecture design for Ascend training products, analyze industry trends, build software-hardware architecture, and guide long-term innovation.

The Senior Engineer will enhance algorithm performance and optimize training efficiency for AI models, lead research, publish papers, and collaborate with global teams.

The IT Engineer will manage network implementation, maintenance, and troubleshooting across regional offices, oversee IT infrastructure construction, and provide user support for IT services.

The role involves researching technology trends in AI-computing networks, analyzing ICT technologies, and advising on collaboration opportunities, while summarizing insights for technical teams.

The Co-op Researcher focuses on AI computing systems, enhancing performance, efficiency, and usability for large model training and inference. Responsibilities include optimization design, building AI clusters, and developing software frameworks for NPU platforms.

Lead advanced AI research projects focused on computer graphics and rendering techniques, mentoring junior engineers and translating ideas into research prototypes.