Machine Learning Engineering (ML Apps)

Qualcomm; San Diego (CA); On-site; USD 141,000 - 211,000; Full time

Job summary

Qualcomm Technologies, Inc. in San Diego is seeking an experienced ML engineer to advance on-device AI for edge devices. You will join a multidisciplinary team building prototype software that runs on-device using modern AI frameworks and tools.

The role requires strong fundamentals in machine learning, embedded software, and software engineering. A minimum of 3 years in a relevant field is expected, with opportunities to contribute to GenAI experiments and hardware acceleration.

Qualifications

• Bachelor's degree in CS/Engineering/Information Systems or related field with 2+ years in Hardware/Software/Systems engineering.
• Master's degree in CS/Engineering/Information Systems or related field with 1+ year of relevant work experience.
• PhD in CS/Engineering/Information Systems or related field.

Responsibilities

• Architect, design, develop, test and deploy on-device prototype software for AI use cases.
• Collaborate with researchers and software engineers on cutting-edge edge AI frameworks and tools.

Skills

Python

C/C++

PyTorch

Software design

Debugging

Embedded software

Docker

Git

CI/CD

NPUs/ML accelerators

Education

Bachelor's degree

Master's degree

PhD

Tools

Docker

Git

CI/CD

Job description

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 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.
• Master'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.
• PhD 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 [e-mail] 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. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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:

$140,800.00 - $211,200.00

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.