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 efficient 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 environments Utilize your C/C++ and machine learning expertise to drive innovation at Qualcomm while enhancing AI inference efficiency.