Sr AI Researcher Agentic AI Core System Architecture

Company:

Qualcomm Technologies, Inc.

Engineering Group, Engineering Group >
Machine Learning Researcher

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 Researcher, you will conduct fundamental research that creates innovative machine learning methodology that achieves beyond state-of-the-art performance. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning research.

• Contribute to the design, development, and deployment of cutting-edge agentic AI systems across diverse use cases.
• Maintain and evolve existing agentic AI infrastructure, ensuring scalability, reliability, and performance.
• Stay current with the latest research in deep learning, generative AI, and agentic frameworks, and apply insights to practical solutions.
• Prototype and iterate rapidly in a fast-paced, agile development environment.
• Work independently and manage multiple priorities.
• Collaborate cross-functionally with other business units.

• Solid background of deep learning and generative AI, including transformers.
• Proficiency in Python and familiarity with modern ML frameworks (e.g., PyTorch).
• Hands-on experience with fine-tuning small models using Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL).
• Understanding of agentic AI concepts and frameworks such as Lang Chain or similar.
• Solid grasp of software engineering principles and version control tools (e.g., Git).

• PhD in Computer Science, Electrical Engineering, or related field
• 2+ years of AI work experience
• Experience with multi-agent systems and planning, reasoning, deep search, agentic RAG for long horizon task automation
• Familiarity with multimodal agentic systems (e.g., image, video, text).
• Experience with deploying generative AI systems on edge devices or resource-constrained environments.
• Comfort with performance optimization and system-level debugging.
• Publishing research papers at top-tier AI/ML conferences, e.g., NeurIPS, ICML, and ICLR, as a lead author

Masters degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.

6+ months of academic and/or work experience developing and/or optimizing machine learning models, systems, platforms, or methods.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. You may email disabilit or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.

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.

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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. Salary is only one component of total compensation  also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants. We offer a competitive benefits package to support success at work, at home, and r recruiter can discuss these offerings, and more details about our US benefits may be found on the company site.

If you would like more information about this role, please contact Qualcomm Careers.