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# Machine Learning Engineer

- **Company:** Qualcomm
- **Location:** Raleigh, NC, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Information Systems, Computer Programming, Data Structures, Software Debugging, Python (Programming Language), Linux System Administration, Machine Learning, Systems Architecture, Multithreading, Model Validation, Reliability of Systems, Information Technology, Data Pipelines
- **Published:** August 9, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/machine-learning-engineer-raleigh-nc-usa-58861803

## About the Role

AI evaluation pipelines * Contribute to design and code reviews Tasks * Bachelor's degree or equivalent in Engineering, Information Systems, Computer Science, or related field * Strong programming skills in C++ and Python * Solid understanding of machine learning and deep learning theory * Proficiency in data structures, computer system architecture, and multi-threaded programming * Familiarity with Linux environments * Strong analytical and debugging skills * Excellent communication skills Key requirements * competitive benefits package * annual discretionary bonus program * RSU grants opportunity * salary range $110,600.00 - $165,800.00 * focus on work-life balance and career growth

## Description

Experteer Overview As a Machine Learning Engineer at Qualcomm, you will develop and implement cutting-edge ML techniques to enable efficient deployment of models on Snapdragon platforms. You contribute to quantization tooling within the AISW Tools team and help optimize inference speed and power usage. You work with cross-functional AI software teams to validate model performance and integrate agentic AI workflows. This role offers hands-on design, debugging, and pipeline development to advance Qualcomm's AI acceleration capabilities. Compensation / Benefits * Collaborate with cross-functional AI Software teams to optimize inference of AI models on Qualcomm AI accelerator IP using QAIRT SDK * Validate and optimize performance and accuracy of quantized models through analysis and testing * Debug complex issues, perform root cause analysis, and ensure high system reliability * Participate in adoption of agentic AI workflows (e.g., Claude Code) to automate quantization experiments and model evaluation pipelines * Contribute to design and code reviews Tasks * Bachelor's degree or equivalent in Engineering, Information Systems, Computer Science, or related field * Strong programming skills in C++ and Python * Solid understanding of machine learning and deep learning theory * Proficiency in data structures, computer system architecture, and multi-threaded programming * Familiarity with Linux environments * Strong analytical and debugging skills * Excellent communication skills Key requirements * competitive benefits package * annual discretionary bonus program * RSU grants opportunity * salary range $110,600.00 - $165,800.00 * focus on work-life balance and career growth


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