Senior Machine Learning Engineer Embedded Systems

Join Qualcomm as a Senior Machine Learning Engineer specializing in embedded systems for advanced AI applications in infotainment and autonomous driving. Your work will drive innovative solutions and optimize existing frameworks.

In this critical role at Qualcomm, you will deepen your expertise in machine learning and embedded engineering. Responsibilities include developing the ML runtime framework, collaborating across teams, and optimizing performance using C++. You'll also support model deployment from various ML frameworks and ensure optimal operational efficiency.

Key Responsibilities:

• Implement ML runtime framework components for embedded AI

• Collaborate on efficient 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 and 2+ years of relevant experience

• Proficient in C++ and embedded systems

• Familiarity with Linux/Android/QNX development

• Solid grasp of machine learning principles

• Experience in AI accelerators or DSPs is beneficial

Your expertise in embedded AI and performance optimization will significantly contribute to Qualcomm's pioneering projects.
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