Machine Learning Engineer - College Graduate

Location: San Diego, California, United States of America

Department: Machine Learning Engineering

Work Location: onsite

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 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 first hands-on experience with enabling on-device AI using modern software engineering best practices.

Minimum Qualifications:

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

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.

Preferred extra experience and skills:

· Knowledge of Generative AI ( GenAI ) technologies.

· Knowledge of neural network model optimization and on-target deployment is a plus.

· Knowledge of NPUs / ML accelerators.

· Knowledge of Android programming is plus.

· Optimization of algebraic operations in algorithms for HW cores is a plus.

· Knowledge of C/C++ and embedded software.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

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 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.

 

Pay range and Other Compensation & Benefits:

$122,800.00 - $184,200.00

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. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

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