As an LLM Serving Engineer at Qualcomm, you will design and optimize machine learning frameworks, runtime systems, and inference software to deploy AI models efficiently on hardware. You'll work on hardware-software co-design for ML solutions across mobile, edge, automotive, and IoT platforms, developing compiler tools, model efficiency software, and optimized ML kernels.… The role requires 6+ years of systems/software engineering experience with demonstrated expertise in ML frameworks (TensorFlow, PyTorch, Keras), low-level OS-hardware interactions, embedded systems optimization, and programming in Python or C++. You'll lead technical initiatives, mentor team members, and collaborate with cross-functional teams on complex product-level ML features.