Machine Learning Engineer
Listed on 2026-06-26
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Company
Qualcomm Technologies, Inc.
Job AreaEngineering 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 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.
- Excellent programming capabilities in Java.
- Knowledge of Generative AI (GenAI) technologies.
- Knowledge of Android programming is a plus.
- Knowledge of neural network model optimisation 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.
$ - $
Salary is one component of total compensation. Competitive annual discretionary bonus programme, annual RSU grants, and a highly competitive benefits package support work, home and play. More details about US benefits available upon request.
EEO Employer StatementQualcomm 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.
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.
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