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Job Area:
Engineering Group, Engineering Group > Software Engineering
Responsibilities
Development of AI SW stack framework enhancements for optimal resource usage while running a neural network on Qualcomm hardware
Development of software tools for profiling, and debugging to support rapid deployment of new neural networks in this fast-changing field
Evaluating and optimizing neural networks runtime performance and accuracy
Working with customer teams to enable state of the art network models and new AI SW features to meet customer use-cases
Collaborating with AI Hardware and architecture teams to continuously improve our AI solution
Being an active contributor to the development process to ensure commercial quality software releases
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
PhD in Engineering, Information Systems, Computer Science, or related field.
• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
At least 4 years of experience in C/C++, with significant part of that on embedded systems
Excellent programming capability and analytical, development, and debugging skills
Exposure to RTOS, kernel drivers, Computer Architecture
Android / Embedded Linux software development
Additional Preferred Qualifications
Working knowledge of Python and Git
Working knowledge of ML/AI networks
Curiosity and willingness to continually learn new things and propose new ideas.
Excellent communication skills (verbal, presentation, written)
Ability to collaborate across a globally diverse team and multiple interests
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
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