As a Qualcomm AI Software Engineer, you will be at the forefront of developing and implementing advanced machine learning techniques to enhance the performance of AI applications across various hardware platforms. You will work closely with teams focused on AI SDK integration, performance optimization, and benchmarking. This role emphasizes collaboration and innovation, allowing you to contribute to the development of state-of-the-art solutions that drive digital transformation. Your expertise will help Qualcomm maintain its competitive edge in the AI landscape.

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of relevant experience, or a Master's degree with 1+ year of experience, or a PhD in a related field.
• Master’s degree in Computer Science, Computer Engineering, or Electrical Engineering is preferred.
• 1+ years of experience for Senior level or 3+ years for Staff level in building embedded software applications.
• Experience with machine learning application development or benchmarking applications like MLPerf or Geekbench AI.
• Good understanding of machine learning and deep learning fundamentals.

• Integrate the Qualcomm AI SDK into AI benchmarking applications and deploy ML models on Snapdragon hardware accelerators.
• Design, evaluate, and optimize AI benchmark model performance and accuracy.
• Collaborate with various teams to conduct end-to-end performance analysis and implement optimizations.
• Engage with AI benchmarking communities to discuss enhancements to scoring methodologies.
• Analyze competitor SDKs to develop strategies that strengthen Qualcomm’s competitive position.

• Qualcomm offers competitive compensation, annual bonuses, stock programs, comprehensive healthcare coverage, retirement plans, wellness programs, parental leave, flexible work options, and professional development opportunities.