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 current 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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