Engineer, Senior- Machine Learning

Qualcomm, a leading technology innovator, is seeking a Senior Machine Learning Engineer to join their growing team in Hyderabad. This role focuses on advancing state-of-the-art Machine Learning, specifically working with Qualcomm's chips to enable neural network inference on-device without cloud connectivity. The position involves developing the Snapdragon Neural Processing Engine (SNPE) SDK and optimizing AI/ML performance across various hardware accelerators.

The ideal candidate will combine strong software engineering skills with machine learning expertise, working on solutions that directly impact billions of devices worldwide. You'll be part of a team that pushes the boundaries of what's possible in on-device AI, optimizing for both speed and power efficiency.

This role offers the opportunity to work with cutting-edge technology in the AI/ML space, specifically focusing on hardware-software integration for machine learning applications. You'll be involved in the full development cycle, from implementation to optimization, working with various hardware accelerators including CPUs, GPUs, and NPUs.

The position requires strong technical skills in C/C++ development, deep learning fundamentals, and hardware optimization. You'll need to stay current with fast-paced developments in both industry and academia, contributing to the continuous enhancement of Qualcomm's ML solutions from both software engineering and machine learning perspectives.

Working at Qualcomm means being at the forefront of digital transformation, helping create a smarter, connected future for all. You'll collaborate with diverse teams globally, working on products that meet and exceed customer needs while pushing the boundaries of what's possible in mobile AI technology.