Senior Machine Learning Software Engineer

General Summary

This role involves independently planning, designing, implementing, and verifying software—typically in C, C++, or Python—to enable audio, camera, graphics, video, sensors, wireless, and other functionality for operating systems running on ARM processors and other embedded hardware such as DSP or GPU processors within mobile, edge, automotive, and IoT products.

• Integrate, test, and optimize performance of embedded software subsystems.
• Implement new tools to support development, integration, and verification.
• Develop optimized software, including ML kernels or compiler tools that leverage specific hardware features.
• Collaborate closely with hardware teams for joint design and development.
• Optimize machine learning software frameworks (e.g., Tensor Flow, PyTorch) to efficiently run algorithms on hardware.
• Coordinate dependencies with other teams and develop process-improvement tools.
• Assist in verification of deliverables and contribute at design reviews and project meetings.

• Master’s Degree (or foreign equivalent) in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• Strong programming skills in C, C++, or Python.
• Experience with embedded systems and performance optimization.
• Knowledge of machine learning frameworks and hardware acceleration.

$ – $ per year

Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.