Join Qualcomm's cutting-edge Generative AI team focused on integrating advanced GenAI models on Qualcomm chipsets. This role combines software engineering excellence with AI innovation, working on the Qualcomm AI Runtime (QAIRT) SDK. The position offers an opportunity to work with state-of-the-art technology that enables on-device inference of GenAI models without cloud connectivity.
As a Senior Engineer in Kernel Development, you'll be at the forefront of developing solutions that leverage Qualcomm's heterogeneous computing capabilities. The team's inference engine is designed to run neural network models on Snapdragon platforms, optimizing for both speed and power efficiency. You'll work with Large Language Models (LLMs) and Large Vision Models (LVM), pushing the boundaries of what's possible in edge computing.
The role requires a unique blend of deep technical expertise in C/C++ development, AI/ML technologies, and low-level system optimization. You'll be working with a globally diverse team, contributing to groundbreaking advancements in edge AI technology. This position offers the chance to impact the future of AI deployment on mobile and IoT devices, making AI more accessible and efficient.
The ideal candidate will bring strong expertise in SIMD architecture, kernel development, and AI frameworks, combined with excellent problem-solving and communication skills. This role presents an exceptional opportunity for someone passionate about the intersection of high-performance computing and artificial intelligence, wanting to make a significant impact in the field of edge AI computing.