Senior Engineer, Machine Learning Engineering; ML Apps

Company

Qualcomm Technologies, Inc.

Engineering Group, Engineering Group >
Machine Learning Engineering

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.

Must have experience and skills:

• 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.

Preferred extra experience and skills:

• 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.

• Bachelor s degree in Computer Science, Engineering, Information Systems, or related field.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. 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.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

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The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Salary is only one component of total compensation  offer a competitive annual discretionary bonus program and opportunity for annual RSU grants. In addition, our benefits package is designed to support your success at work, at home, and r recruiter will discuss all that Qualcomm has to offer.

More details about our US benefits are available via the provided link.

If you would like more information about this role, please contact Qualcomm Careers.