Engineer, Machine Learning Engineering (ML Apps)

About the position

Artificial Intelligence is changing the world for the benefit of human beings and societies. QUALCOMM, as the world's leading mobile computing platform provider, is committed to enable the wide deployment of intelligent solutions on all possible devices – like smart phones, laptops, autonomous vehicles, robotics and IOT devices. Qualcomm is creating building blocks for the intelligent edge.

We are part of Qualcomm AI Research, and we focus on advancing Gen AI Technology for the Edge – including model fine tuning, hardware acceleration, model quantization, edge inference and related fields. Come join us on this exciting journey.

In this particular role, you will work in a dynamic research environment, be part of a multi-disciplinary team of researchers and software engineers who work with cutting edge AI frameworks and tools. You will architect, design, develop, test, and deploy on-device prototype software for cutting-edge AI use cases.

The successful applicant should have a strong theoretical background and proven hands-on experience with enabling on-device AI using modern software engineering best practices.

Requirements

• Strong Python and object-oriented SW design and implementation skills.
• Knowledge of deep learning and ML frameworks ( i.e. PyTorch ).
• Strong software design skills with a focus on usability.
• Strong analytical, debugging and problem-solving skills.
• Knowledge of GenAI model architectures.
• At least 3 years of work experience in a relevant field.

Nice-to-haves

• Knowledge of Generative AI ( GenAI ) technologies.
• Knowledge of model quantization techniques is a plus.
• Knowledge of neural network model optimization and on-target deployment is a plus.
• Previous experience with Docker, Git and CI/CD.
• Knowledge of NPUs / ML accelerators.

Benefits

• competitive annual discretionary bonus program
• opportunity for annual RSU grants
• highly competitive benefits package