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 enabling 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.

• 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.

• 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, 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.

Qualcomm is also committed to making our workplace accessible for individuals with disabilities.

Our Careers Site is only for individuals seeking a job ffing 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.

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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. Even more importantly, please note that salary is only one component of total compensation  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 r 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.