About the job
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
Minimum
• 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.
Preferred
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