Machine Learning Engineer

Qualcomm Technologies, Inc. is seeking a talented and motivated Staff Software Engineer to join their AI Hub team. This role presents an exciting opportunity to work at the forefront of on-device machine learning technology, developing cutting-edge applications for mobile and edge hardware.

The position involves working with state-of-the-art AI frameworks and technologies, including Qualcomm's AI stack, TFLite/LiteRT, and ONNX runtime. You'll be responsible for developing applications ranging from latency-critical streaming video to advanced large language models and Generative AI implementations. The role requires expertise in efficient data processing, optimization across CPU/GPU/NPU architectures, and deep understanding of mobile platforms, particularly Android.

As a Staff Engineer, you'll work independently while providing guidance to team members, making significant technical decisions that impact the broader organization. The role offers competitive compensation ($160,500 - $240,700) plus additional benefits including annual bonuses, RSU grants, and comprehensive healthcare coverage.

This is an ideal opportunity for experienced software engineers passionate about machine learning and mobile technology. You'll be working with Qualcomm's industry-leading mobile platforms, contributing to projects that push the boundaries of what's possible in on-device AI. The position offers exposure to cutting-edge technology, collaboration with top industry experts, and the chance to influence the future of mobile AI applications.

The role requires strong technical skills in modern programming languages (C++, Java, Kotlin), deep understanding of Android platform, and experience with AI frameworks. You'll be working in a collaborative environment, interacting with customers and design partners, while having the opportunity to grow professionally and make significant contributions to world-changing innovations.