Qualcomm is seeking a highly skilled Core ML Engineer to design, develop, and optimize machine learning systems for next-generation AI platforms. The role emphasizes model development, inference optimization, and scalable ML infrastructure to enable production-grade AI capabilities. The ideal candidate will possess strong software engineering fundamentals and deep machine learning expertise. This position involves collaboration with various teams to deliver end-to-end ML solutions.

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of relevant work experience, or a Master's degree with 1+ year of experience, or a PhD in a related field.
• Strong programming skills in Python and at least one systems language such as C++, Rust, or Go.
• Solid understanding of machine learning fundamentals, including supervised, unsupervised, and deep learning.
• Experience with ML frameworks like PyTorch or TensorFlow.
• Knowledge of model optimization techniques such as quantization and caching.

• Design and implement machine learning models and pipelines for production use.
• Build scalable training, evaluation, and deployment workflows.
• Optimize model inference for latency, throughput, and cost.
• Integrate ML/LLM models into APIs, microservices, and applications.
• Collaborate with product, platform, and hardware teams to deliver end-to-end ML solutions.

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