Qualcomm is seeking an AI SDK Software Engineer to join their engineering team in Shanghai, focusing on automotive infotainment and ADAS platform development. This role combines cutting-edge AI technology with embedded systems, working on neural network frameworks like PyTorch and TensorFlow to optimize performance on Qualcomm's next-generation hardware acceleration cores.
The position involves developing and maintaining Qualcomm's Neural Network SDK, implementing sophisticated quantization techniques, and optimizing AI models for embedded platforms. You'll work with various hardware accelerators including DSP/GPU/NPU/CPU, while collaborating with a global team to design and implement new features.
Key responsibilities include SDK development for automotive platforms, neural network operator development, and supporting customers with efficient neural network deployment. The ideal candidate will have strong C/C++ programming skills, experience with AI frameworks, and a deep understanding of quantization techniques.
This role offers an opportunity to work at the intersection of AI and automotive technology, contributing to next-generation vehicle systems. You'll be part of Qualcomm's innovative culture, working alongside leading engineering experts while having access to comprehensive professional development resources and benefits.
The position requires collaboration across globally diverse teams, excellent communication skills, and the ability to solve complex technical challenges. You'll be instrumental in pushing the boundaries of AI technology in automotive applications, while working for a company that values innovation, diversity, and continuous learning.