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Low Power AI Software Engineer
Job Description & How to Apply Below
Become a key player in Qualcomm's AI team as a Software Engineer specializing in machine learning runtimes. Focus on optimizing performance for AI applications across diverse platforms.
Qualcomm is looking for an experienced engineer to develop and maintain runtime frameworks efficiently utilized on low-power Qualcomm accelerators. This role emphasizes collaboration, design, and debugging, requiring a robust understanding of software engineering principles and tools. Candidates with postgraduate degrees are encouraged, as well as those with extensive experience in C/C++, to enhance the Qualcomm AI Stack.
Key Responsibilities:
• Implement ML runtime for inference on embedded platforms
• Develop C/C++ codes for runtime kernels
• Create analyzing tools for external customers
• Engage with cross compiler tool chains for various systems
• Troubleshoot issues with Qualcomm AI products
Requirements:
• Master’s or PhD in Computer Science or related field
• 1+ years in Hardware or Software Engineering
• Experience in multitasking and multithreading
• Familiarity with Hexagon DSP SDK
• Proficiency in Linux and Docker tools
Enhance low-power AI applications by leveraging your knowledge within Qualcomm's innovative environment.
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