Qualcomm is seeking a Machine Learning Framework, Compiler & Performance Engineer to join their ML Systems Team. This role sits at the intersection of AI innovation and hardware optimization, focusing on developing and evolving ML/AI compilers and analyzing ML/AI algorithms for future hardware/software solutions. The position offers an opportunity to work with cutting-edge technology in mobile AI and edge computing.
As a team member, you'll contribute to making AI ubiquitous across devices, participating in both production and exploratory compiler development. You'll work on efficient mappings of ML/AI algorithms for current and future hardware architectures, while analyzing workloads to influence Qualcomm's ML offerings.
The ideal candidate combines strong technical skills in C++, Python, and compiler design with a deep understanding of machine learning frameworks like PyTorch. You'll be working in cross-functional teams, requiring excellent communication and problem-solving abilities. The role offers exposure to the latest academic research and customer engagements in ML network design.
Qualcomm provides comprehensive benefits, including world-class health coverage, financial planning support, and wellbeing programs. The company fosters a culture of continuous learning with tuition reimbursement and mentorship opportunities. This position offers a unique opportunity to shape the future of AI technology while working with industry-leading experts in a supportive, inclusive environment.