Sr Engineer, Machine Learning Engineering; ML Apps

Company:
Qualcomm Technologies, Inc.

Job Area:
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.

• Architect, design, develop, test, and deploy on‑device prototype software for cutting‑edge AI use cases.
• Collaborate in a multi‑disciplinary team of researchers and software engineers working with cutting‑edge AI frameworks and tools.

• Strong Python and C/C++ design and implementation skills.
• Knowledge of deep learning and ML frameworks (e.g., 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.

• 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.

• 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. Qualcomm also commits to making the workplace accessible for individuals with disabilities.

Pay range: $ – $. 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. Qualcomm also offers a competitive annual discretionary bonus program and opportunity for annual RSU grants. In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play.