Embedded Machine Learning Engineer

Position: Embedded Machine Learning Engineer at Qualcomm
Join Qualcomm Canada ULC as an Embedded Machine Learning Engineer to optimize AI solutions for infotainment and autonomous driving. This role focuses on developing ML runtime frameworks for performance-driven embedded systems.

Be a part of Qualcomm's Automotive AI Software team, which is expanding rapidly in the field of embedded machine learning. In this position, you will design core components of ML frameworks, work with various teams to enhance execution paths, and develop C++ code for runtime kernels. Collaborating towards innovative solutions will be essential.

Key Responsibilities:

• Design ML runtime framework components for embedded systems

• Collaborate on AI workload execution paths with teams

• Maintain and develop C++ code for system integration

• Create tools for model performance profiling and debugging

• Analyze runtime performance using profiling tools

Requirements:

• Bachelor's degree with 4+ years in relevant experience

• Proficient in C++ with embedded system focus

• Knowledge of Linux/Android/QNX environments

• Understanding of AI architecture and DSPs

• Familiarity with machine learning concepts and tools

Contribute your expertise in embedded systems and machine learning to Qualcomm's innovative Automotive AI projects.
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