Qualcomm AI Research is seeking a talented AI System Software Engineer to join their world-class team in Beijing. This role offers an exciting opportunity to work at the intersection of cutting-edge AI research and practical implementation on mobile devices.
The position involves developing advanced machine learning technology and best-in-class solutions, with a focus on generative AI, LLM, LVM, VLM, and AI agents. You'll be working on the AI Model Efficiency Toolkit (AIMET) and other tools to optimize state-of-the-art networks for devices with limited resources.
As part of this role, you'll collaborate with a multi-disciplinary team spanning hardware, software, and systems, contributing to technology that will be deployed worldwide in industry-leading devices. Your work will directly impact next-generation smartphones, PCs, autonomous vehicles, robotics, and IoT devices.
Key responsibilities include developing end-to-end AI tools and models, creating test frameworks, and optimizing neural network performance on Qualcomm hardware. You'll also be involved in debugging, profiling, and SDK development to enable rapid deployment of quantized models.
The ideal candidate should have at least 2 years of relevant experience, strong programming skills in Python and C/C++, and deep knowledge of machine learning frameworks like PyTorch and TensorFlow. Experience with transformers, Huggingface library, and neural network quantization is highly valued.
Qualcomm offers comprehensive benefits including world-class health coverage, financial planning support, mental health resources, and continuous learning opportunities. You'll be part of a company that values diversity, innovation, and professional growth, working alongside leading experts in the field of AI and mobile technology.
Join us in pushing the boundaries of AI technology and helping shape the future of mobile computing. Your contributions will help make advanced AI capabilities accessible on billions of devices worldwide.