Machine Learning, Engineer

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Job Area:

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software.

Minimum Qualifications:

Daily Duties:

• Collaborate in the design, development, and delivery of AI-powered capabilities that advance Nimbus product objectives and address customer needs.

• Contribute to the development, evaluation, and deployment of AI and Generative AI solutions supporting network optimization, Digital Twin technologies, and other strategic AI-driven products.

• Work closely with engineering, product, and domain experts to translate business and customer requirements into practical AI-enabled solutions.

• Communicate technical concepts, project status, and recommendations effectively to both technical and non-technical audiences.

• Stay current with emerging AI technologies, industry trends, and best practices, identifying opportunities to apply them across Nimbus initiatives.

• Apply sound software engineering and AI development practices to ensure scalable, maintainable, and high-quality solutions.

Minimum Qualifications:

• Working knowledge of modern AI/ML concepts, including model development, evaluation, deployment, and operationalization.

• Experience delivering AI-enabled software products or features from concept through production deployment.

• Familiarity with AI concepts, agentic AI frameworks, knowledge management systems, and other LLM-based applications.

• Strong communication, collaboration, analytical, and problem-solving skills.

• B.S. in Computer Science, Engineering, Data Science, or a related technical field.

Preferred Qualifications:

• 1+ years of hands-on experience developing, fine-tuning, or deploying AI/ML models.

• M.S. or Ph.D. in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related discipline.

• Experience with cloud-based AI platforms, MLOps practices, data engineering, or large-scale data processing systems.

• Familiarity with telecommunications, wireless networking, Digital Twin technologies, network automation, or intelligent network-management systems.

• Experience with Generative AI, agentic systems, multi-agent frameworks, LLM applications, or AI-assisted software development.

• Demonstrated interest in emerging AI technologies and their application to real-world engineering and product challenges.

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 [email protected] 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).

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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 rangeand Other Compensation & Benefits :

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.