Senior AI Researcher, -Device LLM Efficiency

Qualcomm Technologies, Inc. offers a role for a Machine Learning Researcher within the Engineering Group, focusing on machine learning methodology that achieves beyond state‑of‑the‑art performance to power next‑generation mobile, edge, auto, and IOT products.

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. The Machine Learning Researcher will conduct fundamental research to create innovative machine learning methodologies that achieve beyond state‑of‑the‑art performance. Engineers collaborate with cross‑functional teams to enhance mobile, edge, auto, and IoT products through AI research.

• Master’s degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of work experience in hardware engineering, software engineering, systems engineering, or related areas.
• 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.

• Research and development of LLM inference efficiency algorithms, efficient model architecture design, and/or LLM training.
• Develop creative solutions considering practical challenges on devices.
• Implement and evaluate possible solutions in simulation and on‑device environments.

• Master’s degree in Computer Science, Electrical Engineering, or related field.
• 4+ years of AI research experience.
• Strong background in deep learning and Transformers.
• Strong programming skills in Python and PyTorch.
• Experience in LLM reasoning or inference acceleration research.

• PhD in Computer Science, Electrical Engineering, or related field.
• Experience in LLM efficiency research such as efficient attention, inference acceleration, or KV cache compression.
• Experience in on‑device AI deployment on mobile or edge devices.
• Publishing research papers as a lead author at top‑tier AI/ML conferences such as NeurIPS, ICML, and ICLR.

Pay: $ – $. In addition to base salary, the role includes a competitive annual discretionary bonus program and opportunity for RSU grants. Comprehensive benefits support work, home, and play.

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.