AI Model System Software Performance Optimization Staff Engineer

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General Summary:

We are seeking candidates with strong optimized software development knowledge and hands-on experience AI. You will be working in a team responsible for comprehensiveness and enhancement of Performance Optimization tools of state-of-the-art machine learning solutions on Snapdragon platform.
You will be working on technical initiatives to continuously benchmark the AI optimization workflow that will serve as relevant, reference case studies for application developers for Windows on Snapdragon. You will drive improvements into the SW stack including SDK, Tools, and documentation that will directly impact the ease of use and performance realization by Windows Application Developers on Snapdragon. You will work closely with development leads, software and hardware architects, customer engineers, and application developers.

Responsibilities:
• Understand trends in ML model design, and workflow through application developer engagements and latest academic research
• Continuously measure KPIs for AI development tools on Windows on Snapdragon in terms of level of automation, ease of use, and resulting performance and accuracy preservation
• Competitive benchmarking of tools and workflow on competitive platforms on state-of-the-art models
• Enhancement of AI performance debug, analysis, and optimization tools for AI application development for Windows on Snapdragon so that Application Developers have nil to very low barrier to entry for Windows on Snapdragon
• Interface with 3rd party application developers and other cross-site and cross-functional teams to arrive at best-in-class performant tools, and documentation that are directly leveraged by 3rd party app developers for Windows on Snapdragon
• Contribute new features and designs to the Qualcomm AI toolkit to enhance the workflow experience of Application Developers

Skills and Experience:
• 7-11 years’ experience in  AI application development
• Experience in building LLM applications using AI/ML tools/workflow preferably on Windows on CPU, GPU, NPU
• Ability to code in C, C++, and Python
• Experience with performance optimization of AI on GPU, NPU, CPU a plus
• Strong communication skills (written and verbal)
• Demonstrated ability to learn, think and adapt in a fast-changing environment

Minimum Qualifications:

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