Machine Learning positions at multiple levels- engineer/Senior Engineer/Staff Engineer

Join Qualcomm's innovative Machine Learning team focused on advancing state-of-the-art AI technology. The role involves working with Qualcomm's cutting-edge chips and their heterogeneous computing capabilities, specifically optimizing neural networks to run efficiently on device without cloud connectivity. The team's inference engine enables developers to run neural network models on Snapdragon platforms with optimal speed and power efficiency.

As a Machine Learning Engineer, you'll be at the forefront of technology that impacts billions of mobile devices globally and contributes to advanced autonomous features in the automotive industry. Your primary focus will be on developing test frameworks for the Qualcomm Neural Network (QNN), working with popular frameworks like TensorFlow and PyTorch.

The position offers exposure to the latest developments in Deep Neural Networks and requires staying current with fast-paced developments in both industry and academia. You'll be responsible for enhancing benchmarking and validation infrastructure from both software engineering and machine learning perspectives.

This is an excellent opportunity for someone passionate about machine learning and software development, offering the chance to work on technology that directly impacts global mobile devices and autonomous systems. The role combines practical software engineering with cutting-edge machine learning applications, making it ideal for those interested in both fields.