Senior Staff Machine Learning Software Engineer

Qualcomm Technologies, Inc. is seeking a Senior Staff Machine Learning Software Engineer to lead innovative developments in embedded ML systems. This role combines advanced machine learning expertise with embedded software development, focusing on optimizing ML applications for mobile, edge, auto, and IoT products.

The position offers an exciting opportunity to work at the intersection of machine learning and embedded systems, leading a team in developing cutting-edge solutions. You'll be responsible for designing and implementing software that enables various functionalities including audio, camera, graphics, and sensors on ARM processors and embedded hardware.

As a senior technical leader, you'll work with ML frameworks like TensorFlow and PyTorch, optimizing them for specific hardware configurations. The role involves close collaboration with hardware teams, making it perfect for someone who enjoys both high-level architecture and low-level optimization challenges.

The compensation package is highly competitive, ranging from $178,400 to $267,600 annually, complemented by comprehensive benefits including health coverage, financial planning support, and professional development opportunities. The position offers a hybrid work arrangement based in San Diego, CA.

Qualcomm provides an innovative environment where you'll work alongside leading technology experts, contributing to world-changing innovations. The company's commitment to continuous learning, mentorship, and work-life balance makes this an ideal opportunity for a senior ML engineer looking to make significant impact in the field of embedded AI and machine learning.

This role is perfect for someone with deep expertise in both machine learning and embedded systems, who can lead teams, drive technical decisions, and contribute to cutting-edge technology development in a company that's shaping the future of mobile and IoT technologies.