Join Qualcomm's Low Power AI team as an Embedded Software Engineer specializing in C/C++ and machine learning. Contribute to optimizing AI models for our cutting-edge hardware architecture.
This recent position requires solid hands-on skills in performance optimization and experience in C/C++. You will collaborate in deploying machine learning solutions using optimization techniques like graph transformation and memory planning. Your proficiency in Linux/Android development will be pivotal in ensuring effective AI models on Qualcomm platforms.
Key Responsibilities:
Develop optimized software for AI model deployment
Apply machine learning techniques to enhance runtime frameworks
Collaborate on machine learning hardware and software design
Conduct complex experiments for model evaluation
Support customers in utilizing AI solutions
Requirements:
Bachelor's or Master's in Computer Science or Engineering
2+ years in embedded system development
Proficient in C/C++ programming
Machine learning framework experience preferred
Familiarity with Linux or Android settings
Utilize your C/C++ and machine learning expertise to drive innovation at Qualcomm while enhancing AI inference efficiency.
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