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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.

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

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 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.