LLM Algorithmic Optimization Engineer
2 weeks ago
NIO Inc. is a pioneering company in the premium smart electric vehicle market, dedicated to shaping a joyful lifestyle. Our mission is to build a community through smart electric vehicles, sharing joy and growing together with users.
We design, develop, and manufacture premium smart electric vehicles, driving innovations in next-generation technologies, including autonomous driving, digital technologies, electric powertrains, and batteries. Our unique approach differentiates us through continuous technological breakthroughs and innovations, such as industry-leading battery swapping technologies, Battery as a Service (BaaS), and proprietary autonomous driving technologies and Autonomous Driving as a Service (ADaaS).
Job Description:Key Responsibilities:- Conduct research and apply cutting-edge technologies to optimize Large Language Models (LLMs) and multimodal models, exploring and implementing core algorithmic optimization on heterogeneous architectures for efficient LLM inference and deployment across distributed and heterogeneous hardware environments.
- Focus on model optimization from a systems perspective, ensuring efficient deployment in the vehicle's digital cockpit and advanced driving (AD) domain.
- Collaborate with cross-functional teams to integrate optimized models into real-world automotive applications.
- Contribute to the entire pipeline from research, development, and testing to deployment on hardware, including GPUs and other distributed systems.
- Currently pursuing or completed a PhD or Master's degree in Computer Science, Computer Engineering, Applied Mathematics, Communications, Electronics, or a related field with relevant research projects and publications.
- Strong understanding of GPU/NPU architecture and optimization techniques to identify and address bottlenecks.
- Proficient in LLM and VLM architectures and algorithms, familiar with transformer-based NLP / Audio / CV algorithms and technologies.
- Proficiency in Python and experience with AI-related training and inference tools such as PyTorch.
- Proficiency in C/C++ programming, familiar with at least one commonly used LLM inference engine.
- Hands-on experience with model-serving frameworks such as Open Neural Network Exchange (ONNX).
- Familiarity with debugging code in distributed computing environments.
- Experience in LLM inference optimization on resource-constrained edge devices is a plus.
- Ph.D. in computer science, artificial intelligence, or related fields; or Masters degree + 3 years of relevant industry experience.
- Experience in inference optimization techniques of deep learning models or libraries on hardware architectures.
- Familiar with microkernel architecture, Linux kernel, hypervisor, middleware, and application framework.
- Those who have good publication records and have published high-impact, innovative papers are preferred.
NIO offers a competitive compensation package, including a base salary range of $165,000.00 to $205,000.00, depending on work location and additional factors. The company also provides a range of benefits, including medical, dental, and vision plans, 401(k) with Brokerage Link option, company-paid Basic Life, AD&D, short-term and long-term disability insurance, and more.
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