Join Qualcomm's AI Hub team as a Staff Software Engineer, focusing on integrating machine learning into products and experiences. You will develop tools for optimizing and deploying machine learning models on edge and mobile hardware, particularly through Qualcomm's AIMET library. The role involves working on advanced quantization techniques and ensuring model accuracy and performance on resource-constrained devices. This position requires collaboration across teams to drive technical alignment and deliver cutting-edge solutions.

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of relevant experience, or a Master's degree with 3+ years, or a PhD with 2+ years.
• 3+ years of industry experience in machine learning, deep learning, or AI infrastructure.
• Strong proficiency in Python with hands-on experience in PyTorch, ONNX, and/or TensorFlow.
• Solid understanding of neural network architectures including CNNs, Transformers, and LLMs.
• Experience with model quantization techniques such as PTQ, QAT, and mixed-precision.

• Design, develop, and maintain quantization algorithms and compression pipelines within the AIMET framework.
• Implement advanced quantization techniques for large language models and generative AI models.
• Build tooling to analyze and debug model accuracy degradation caused by quantization.
• Integrate AIMET workflows with popular ML frameworks like PyTorch and ONNX.
• Develop APIs and tooling to make AIMET accessible for external customers and design partners.

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