Sr. Staff Engineer, Machine Learning Engineering (Quantization SW)

Qualcomm Technologies, Inc. is seeking a Sr. Staff Engineer in Machine Learning Engineering specializing in Quantization Software. This role is part of Qualcomm AI Research, focusing on advancing Gen AI Technology for the Edge, including model fine-tuning, hardware acceleration, model quantization, and edge inference.

The position requires a strong theoretical background and hands-on experience with enabling on-device AI using modern software engineering best practices. The successful candidate will work in a dynamic research environment as part of a multi-disciplinary team of researchers and software engineers, architecting and developing model optimization techniques.

Key responsibilities include working with cutting-edge AI frameworks and tools, developing quantization solutions, and optimizing Generative AI workflows for accuracy and performance. The role requires expertise in Python, neural networks, and ML frameworks like PyTorch and ONNX, along with experience in model quantization and deployment on edge devices.

Qualcomm offers a competitive compensation package including a salary range of $178,400 - $267,600, annual bonuses, RSU grants, and comprehensive benefits. The company provides world-class health coverage, financial planning support, and wellbeing programs to support work-life balance.

This is an excellent opportunity for an experienced ML engineer to work at the forefront of AI technology, specifically in optimizing and deploying AI models on edge devices. The role combines technical expertise with leadership opportunities, requiring both strong engineering skills and the ability to mentor and collaborate across teams.

Located in San Diego, California, this position offers the chance to work with one of the world's leading mobile computing platform providers, contributing to innovations that enable intelligent solutions across smartphones, autonomous vehicles, robotics, and IoT devices.