Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.
Today, more intelligence is moving to end devices, and mobile is becoming the pervasive AI platform. Building on the smartphone foundation and the scale of mobile, Qualcomm envisions making AI ubiquitous - expanding beyond mobile and powering other end devices, machines, vehicles, and things. We are inventing, developing, and commercializing power-efficient on-device AI, edge cloud AI, and 5G to make this a reality.
The AI Processor System software team is looking for talented and passionate engineers to develop and deliver novel embedded AI solutions to enable state-of-the-art AI models on auto platforms for millions of end users.
Responsibilities:
Development of end-2-end embedded AI SW stack to run neural network models on Qualcomm leading edge hardware with optimal resource usage
Design and enhance the implementation of ML/AI compilers, kernels, and runtime software to improve performance and power efficiency
Collaborating with AI Processor Hardware team and high quality implementation of new ML operators/layers to optimal utilizing new capabilities in next-gen AI processor
Development of debugging/profiling tools and user-friendly SDK for customers to rapid deployment of their new use cases
Challenging the status quo and driving innovations to be the best-of-class
Preferred Skills and Experience:
Excellent programming capability with low level C/C++
Strong software design, development, and debugging skills
Optimized Linux, Android, or embedded software development experience
Optimization of algebraic operations in algorithms for HW cores
Experience on compiler/CPU and/or GPU design and development is a big plus
Knowledge on deep learning and popular frameworks is an asset
