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NIO is a pioneer and a leading company in the premium smart electric vehicle market, founded in November 2014. The company’s mission is to shape a joyful lifestyle by building a community that starts with smart electric vehicles, allowing users to share joy and grow together. NIO designs, develops, jointly manufactures, and sells premium smart electric vehicles, driving innovations in next-generation technologies such as autonomous driving, digital technologies, electric powertrains, and batteries. The company differentiates itself through continuous technological breakthroughs, including industry-leading battery swapping technologies and proprietary autonomous driving technologies. As an LLM Algorithmic Optimization Engineer, you will conduct research and apply cutting-edge technologies to optimize Large Language Models (LLMs) and multimodal models. Your focus will be on the exploration and implementation of core algorithmic optimization on heterogeneous architectures, ensuring highly efficient LLM inference and deployment across distributed and heterogeneous hardware environments. You will work from a systems perspective to optimize models for deployment in the vehicle's digital cockpit and advanced driving (AD) domain. Collaboration with cross-functional teams is essential to ensure the integration of optimized models into real-world automotive applications. You will contribute to the entire pipeline from research, development, and testing, through to deployment on hardware, including GPUs and other distributed systems. This role requires a strong understanding of GPU/NPU architecture and optimization techniques, as well as proficiency in programming languages and AI-related tools.
