Principle AI Researcher, -Device LLM Efficiency

Company:

Qualcomm Technologies, Inc.

Engineering Group, Engineering Group >
Machine Learning Engineering

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 conduct fundamental research that creates innovative machine learning methodology that achieves beyond state‑of‑the‑art performance.

• Research and development in the area of LLM inference efficiency algorithms, efficient model architecture design, and/or LLM training
• Develop creative solutions with consideration of practical challenges on devices
• Implementation and evaluation of possible solutions in both simulation and on‑device environments

• Master’s degree in Computer Science, Electrical Engineering, or related field
• 7+ years of AI research experience
• Strong background in deep learning and Transformers
• Strong programming skills in Python and Py Torch
• 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 at top‑tier AI/ML conferences, e.g., NeurIPS, ICML, and ICLR, as a lead author

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• Master’s degree in Computer Science, Engineering, Information Systems, or related field and 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

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 range and 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  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 r 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.

Qualcomm also provides accommodations for individuals with disabilities. For reasonable accommodations during the application/hiring process, email disabili or call Qualcomm's toll‑free number.