Senior AI Researcher, On-Device LLM Efficiency

QUALCOMM, Inc.; San Diego (CA); On-site; USD 159,000 - 239,000; Full time

Job summary

Qualcomm Technologies, Inc. is seeking a Machine Learning Researcher to advance ML methodologies for mobile, edge, auto, and IoT devices. This role emphasizes fundamental research and creative ML techniques to achieve beyond state-of-the-art performance.

You will collaborate with cross-functional teams to translate research into practical deployments across Qualcomm’s product portfolio, contributing to both hardware-accelerated and software-based solutions.

Qualifications

• Master's degree or PhD in a related field.
• 4+ years AI research experience.
• Experience in LLM inference or acceleration.

Responsibilities

• Research and development in LLM inference efficiency algorithms and model architecture design.
• Implementation and evaluation of solutions in simulation and on-device environments.

Skills

Deep learning

Transformers

Python

PyTorch

LLM inference

Inference acceleration

Education

Master's degree in Computer Science, Electrical Engineering, or related field

PhD in Computer Science, Electrical Engineering, or related field

Tools

PyTorch

Python

Job description

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.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.ORPhD 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.Responsibilities:Research and development in the area of LLM inference efficiency algorithms, efficient model architecture design, and/or LLM trainingDevelop creative solutions with consideration of practical challenges on devicesImplementation and evaluation of possible solutions in both simulation and on-device environmentsQualifications:Master's degree in Computer Science, Electrical Engineering, or related field4+ years of AI research experienceStrong background in deep learning and TransformersStrong programming skills in Python and PyTorchExperience in LLM reasoning or inference acceleration researchPreferred qualifications:PhD in Computer Science, Electrical Engineering, or related fieldExperience in LLM efficiency research such as efficient attention, inference acceleration, or KV cache compressionExperience in on-device AI deployment on mobile or edge devicesPublishing research papers at top-tier AI/ML conferences, e.g., NeurIPS, ICML, and ICLR, as a lead authorQualcomm 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 [e-mail] 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).To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.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 : $159,100.00 - $238,700.00The 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 at Qualcomm. We 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 at play. Your 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 .