Join Qualcomm's innovative Machine Learning team focused on advancing state-of-the-art AI technology. This role combines software engineering and machine learning expertise to develop and validate neural network frameworks that power billions of mobile devices worldwide. You'll work on Qualcomm's Neural Network (QNN), enabling efficient on-device AI without cloud dependency.
As a Machine Learning Senior Engineer, you'll be at the forefront of developing test frameworks for QNN, working with cutting-edge neural network frameworks like TensorFlow and PyTorch. Your work will directly impact both mobile devices and autonomous features in the automotive industry. The position requires expertise in Python development, deep learning workflows, and test automation.
The role offers an opportunity to work with a global team, keeping pace with rapid developments in both industry and academia. You'll be responsible for enhancing benchmarking and validation infrastructure, ensuring optimal functionality, performance, and power efficiency of neural networks on Qualcomm's Snapdragon platforms.
This position is ideal for someone who combines strong technical skills with excellent communication abilities, enjoys working in a fast-paced environment, and has a passion for quality software development. You'll be part of a team that's pushing the boundaries of what's possible in mobile AI, working with the latest developments in deep neural networks.