Senior ML Engineer Embedded AI Systems

Position: Senior ML Engineer for Embedded AI Systems
Join Qualcomm as a Senior Machine Learning Engineer focusing on embedded systems for cutting-edge AI in infotainment and autonomous driving. Your work will enhance frameworks and drive innovative solutions.

In this experienced role, you will implement ML runtime framework components necessary for effective embedded AI applications. Collaborating on execution path optimization for AI workloads is key, alongside maintaining C++ code vital for optimal system integration. Additionally, you will develop tools for quantized model accuracy profiling and leverage hardware profiling for runtime enhancements.

Key Responsibilities:

• Implement ML runtime framework components for embedded AI

• Collaborate on effective execution paths for AI workloads

• Maintain and optimize C++ code for system integration

• Develop tools for quantized model accuracy profiling

• Enhance runtime behavior using hardware profiling tools

Requirements:

• Bachelor's degree with 2+ years relevant experience

• Proficient in C++ and embedded systems

• Familiarity with Linux/Android/QNX development

• Solid grasp of machine learning principles

• Experience with AI accelerators or DSPs is beneficial

Reinforce your embedded AI expertise to contribute significantly to Qualcomm's pioneering projects.
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