Sr AI Researcher for Agentic AI Core System Architecture
qualcommAbout the role
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > Machine Learning ResearcherGeneral 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 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.
Responsibilities:
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.
Qualifications:
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 LangChain or similar.
Solid grasp of software engineering principles and version control tools (e.g., Git).
Preferred Qualification:
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
Minimum Qualifications:
• Master's 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, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com 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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