Sr Engineer, Machine Learning Engineering; ML Apps

Position: Sr Engineer, Machine Learning Engineering (ML Apps)
Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group  Machine Learning Engineering General

Summary:

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  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 C/C++ 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.

Experience in Embedded Software development.

At least 3 years of work experience in a relevant field.

Preferred extra experience and skills:

Excellent programming capabilities in Java.

Knowledge of Generative AI ( GenAI ) technologies.

Knowledge of Android programming 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.

Minimum Qualifications:

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

ORMaster's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

ORPhD 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, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disabili or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process.

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EEO

Employer:

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…