As a Qualcomm Machine Learning Engineer, you will develop and implement advanced machine learning techniques to optimize AI inference on edge devices. You will work on the Qualcomm AI Runtime delegate for various frameworks, contributing to software design and development. This role involves collaboration with cross-functional teams to enhance the capabilities of the QAIRT SDK. You will also engage in debugging and performance validation of machine learning models, ensuring high system reliability.

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• 2+ years of software development experience using C/C++/Python.
• Strong software development skills including data structure and algorithm design.
• Strong communication skills in verbal, presentation, and written forms.
• Foundational knowledge of Machine Learning and Deep Learning.

• Design and develop the graph compilation stack for QAIRT APIs.
• Collaborate with AI Software teams to optimize inference of AI models.
• Validate and optimize software performance and accuracy through analysis and testing.
• Debug complex issues and perform root cause analysis.
• Participate in the adoption of agentic AI workflows for automation.

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