Embedded Machine Learning Engineer At Qualcomm Markham
Location
markham, on
Job Type
Full-time
Category
Engineering
Posted
May 28, 2026
Overview
Elevate your career with Qualcomm as an Embedded Machine Learning Engineer specializing in AI solutions for automotive platforms. Drive innovation and optimize performance in cutting-edge infotainment and autonomous driving features. Qualcomm's Automotive AI Software team is seeking a talented engineer with embedded experience. You will design and implement core components for ML runtime frameworks, focusing on performance optimization for low-power systems. Responsibilities
Design core components of ML runtime frameworks Collaborate with teams on effective AI execution paths Develop and maintain runtime kernels in C++ Create tools for profiling and debugging model accuracy Support deployment of models from popular ML frameworks Qualifications
4+ years in Hardware/Software Engineering Bachelor's degree in Computer Science or related field Solid C++ programming skills Experience with embedded system design Knowledge of machine learning concepts and fr...
Elevate your career with Qualcomm as an Embedded Machine Learning Engineer specializing in AI solutions for automotive platforms. Drive innovation and optimize performance in cutting-edge infotainment and autonomous driving features. Qualcomm's Automotive AI Software team is seeking a talented engineer with embedded experience. You will design and implement core components for ML runtime frameworks, focusing on performance optimization for low-power systems. Responsibilities
Design core components of ML runtime frameworks Collaborate with teams on effective AI execution paths Develop and maintain runtime kernels in C++ Create tools for profiling and debugging model accuracy Support deployment of models from popular ML frameworks Qualifications
4+ years in Hardware/Software Engineering Bachelor's degree in Computer Science or related field Solid C++ programming skills Experience with embedded system design Knowledge of machine learning concepts and fr...