Senior Machine Learning Software Engineer

Qualcomm; San Diego (CA); On-site; USD 140,800 - 211,200; Full time

Job summary

Qualcomm is seeking a skilled engineer to independently plan, design, implement, and verify software in C, C++, or Python for various functions in mobile, automotive, and IoT products. The role focuses on integrating and optimizing embedded software in collaboration with hardware teams.

Candidates should possess a Master's degree in a relevant field and demonstrate strong programming skills along with experience in embedded systems and machine learning frameworks. Join Qualcomm to be part of cutting-edge technology!

Qualifications

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

Responsibilities

• Integrate, test, and optimize embedded software subsystems.
• Implement tools for development and verification support.
• Develop optimized software including ML kernels or compiler tools.
• Collaborate with hardware teams on design and development.
• Optimize ML frameworks to run algorithms efficiently.
• Coordinate dependencies and improve processes.
• Assist in deliverable verification and project meetings.

Skills

C

C++

Python

Embedded systems

Machine learning frameworks

Education

Master’s Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field

Job description

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.

Responsibilities

• 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., TensorFlow, 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.

Qualifications

• 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.

Pay Range

$140,800.00 – $211,200.00 per year

EEO Statement

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.