Staff Engineer, Machine Learning Engineering (Heterogenous SW)

Qualcomm Technologies, Inc., the world's leading mobile computing platform provider, is seeking a Staff Engineer in Machine Learning Engineering to join their AI Research team. This role is based in San Diego and focuses on advancing Gen AI Technology for the Edge, including model fine-tuning, hardware acceleration, and edge inference.

The position offers an exciting opportunity to work in a dynamic research environment alongside a multi-disciplinary team of researchers and software engineers. You'll be working with cutting-edge AI frameworks and tools, architecting and developing solutions that push the boundaries of what's possible in edge computing and artificial intelligence.

The ideal candidate will bring strong theoretical AI knowledge combined with hands-on experience in Generative AI workflows and LLM stacks. Proficiency in Python, modern C++, and machine learning frameworks like PyTorch is essential. The role requires both technical expertise and strong collaborative skills, as you'll be working with teams across different time zones.

Qualcomm offers a comprehensive benefits package including competitive base salary ($158,400 - $237,600), annual bonuses, RSU grants, and extensive health benefits. The company's commitment to innovation in AI and edge computing, combined with its global reach and impact, makes this an exceptional opportunity for a senior-level machine learning engineer looking to work on transformative technology.

The role sits within Qualcomm AI Research, focusing on enabling intelligent solutions across various devices – from smartphones to autonomous vehicles and IoT devices. You'll be at the forefront of creating building blocks for the intelligent edge, working on projects that have real-world impact and global reach. The position offers significant growth opportunities and the chance to work with some of the industry's leading minds in AI and machine learning.