The role involves working with the Qualcomm AI Hub Compiler team to manage the infrastructure that supports model compilations for on-device AI. You will engage in the entire compilation pipeline, ensuring models are optimized and executed efficiently across various Qualcomm devices. The position requires collaboration with multiple teams to enhance model performance and facilitate the onboarding of new models. This is a critical role that influences the developer experience and the overall strategy of the Qualcomm AI Hub.

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field and 4+ years of relevant work experience, or a Master's degree with 3+ years, or a PhD with 2+ years.
• 3+ years of industry experience in ML infrastructure, compiler engineering, or AI framework development.
• Proficient in Python and C++.
• Solid understanding of ML compiler concepts and hands-on experience with compiler stacks such as MLIR, ONNX, or TVM.
• Experience with PyTorch model export and on-device deployment frameworks.

• Design, develop, and maintain the end-to-end compilation pipeline for Qualcomm AI Hub Workbench.
• Build and maintain ONNX-based compilation paths and PyTorch compilation paths.
• Contribute to the ONNXRuntime QNN execution provider through optimizations and validation.
• Collaborate with QAIRT and QNN teams to ensure efficient model execution across various backends.
• Own the compilation and validation of models published on Qualcomm AI Hub, ensuring performance and correctness.

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