团队背景：高通中国研究院AI Research团队，地处北京东城区，是高通AI Research在中国的分部，专注于大模型的端侧优化及部署。欢迎校友们投递简历！简历请发至 ljiuyuan@qti.qualcomm.com

General Summary:

Before there were smartphones or smart cities, before autonomous cars or 360 virtual reality videos, there was our technology. Headquartered in San Diego, for over 30 years Qualcomm’s inventions have inspired others to make the impossible, possible. From 5G to artificial intelligence, IoT to automotive and extended reality applications, Qualcomm is inventing the technologies of an intelligently connected future, spearheading research efforts for the next global wireless standard, and collaborating with industry leaders in the wireless value chain to make this future a commercial reality. You’re bringing skills. We’ll provide the environment and the experience to push your limitless potential. Join us for our U.S. 2024 summer intern class!

Artificial Intelligence is changing the world for the benefit of human beings and societies. AI is moving from cloud to the edge devices. Qualcomm, as the world's leading mobile computing platform provider, is committed to enable the wide deployment of intelligent solutions on all possible devices. As a Machine Learning/AI Engineering Intern you will be involved and participate in building best-in-class solutions and tools needed to enable state-of-the-art technologies for next generation mobile/embedded machine learning platforms for smart phones, autonomous vehicles, robotics and IOT devices. In this role, you will work in a dynamic research environment, be part of a multi-disciplinary team of researchers and software developers, collaborate with internal teams, work with popular neural network frameworks, and understand the architecture of Qualcomm’s SOC compute and ML HW accelerators. You will design, develop & test software for machine learning tools and frameworks that enable making models smaller and run efficiently on all edge devices.

Minimum Qualifications

Currently enrolled in a bachelor’s, master’s, or Ph.D. degree program in computer engineering, computer science, electrical engineering, or a related field
Successful candidates will have experience in one or more of the following Machine Learning/AI Technical Tracks:

MACHINE LEARNING/AI SOFTWARE (Position SW)

Programing in C++ and Python
Experience in machine learning algorithms and architectures, including CNNs, RNN/LSTMs, Transformer, LVM, LLM
Hands-on experience with ML frameworks, such as TensorFlow or PyTorch
Previous experience working on machine learning data pipelines and data management back end or front end applications
Neural network, computer programming, video processing, image processing, app dev
Mathematical operations: linear algebra, fast math libraries

MACHINE LEARNING/AI SYSTEMS (Position SIT)

Programming in Python
Machine learning theory / optimization methods , deep learning, model compression / quantization / optimization
Reinforcement Learning, Neural Architecture Search / kernel optimization, Bayesian Optimization
Deep neural networks (CNN, RNN, Attention, Transformer)
Audio and speech / NLP (e.g., BERT) / computer vision / wireless communication/ Wireless Domain ML
Proficiency in designing, implementing and training DL/RL algorithms in high-level Languages/frameworks (e.g. PyTorch, TensorFlow, Caffe, Keras).
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