Research Engineer LLM and Vision-AI models paralle computing - Internship
Overview:
NIO Inc. is a pioneer and a leading company in the premium smart electric vehicle market. Founded in November 2014, NIO’s mission is to shape a joyful lifestyle. NIO aims to build a community starting with smart electric vehicles to share joy and grow together with users.
NIO designs, develops, jointly manufactures and sells premium smart electric vehicles, driving innovations in next-generation technologies in autonomous driving, digital technologies, electric powertrains and batteries. NIO differentiates itself through its continuous technological breakthroughs and innovations, such as its industry-leading battery swapping technologies, Battery as a Service, or BaaS, as well as its proprietary autonomous driving technologies and Autonomous Driving as a Service, or ADaaS. NIO’s product portfolio consists of the ES8, a six-seater smart electric flagship SUV, the ES7 (or the EL7), a mid-large five-seater smart electric SUV, the ES6 (or the EL6), a five-seater all-round smart electric SUV, the EC7, a five-seater smart electric flagship coupe SUV, the EC6, a five-seater smart electric coupe SUV, the ET9, a smart electric executive flagship, the ET7, a smart electric flagship sedan, the ET5, a mid-size smart electric sedan, and the ET5T, a smart electric tourer.
Responsabilities:
• You will research and you will apply state-of-the-art technologies to optimize models and
deploy them on distributed and heterogenous hardware.
• The models will be Open Source Large Language Models (LLM) and images diffusion models.
Qualifications:
• PhD or master’s degree with publication and research projects, in Computer Science,
Computer Engineering, Applied Mathematics, Communication, Electronics.
• Knowledge of GPU architecture and bottlenecks.
• Good understanding of LLM models, diffusion models and video summarization models
(LSTM/ViT/Diffusion).
• Proficient in Python, AI-related training and inferencing tools such as PyTorch.
• Experience with model serving technologies such as Open Neural Network Exchange (ONNX).
• Experience with debugging code in distributed environments.
• Knowledge of different vision and video model evaluation tasks such as Kinects400,
Moments in Time, etc.