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Senior AI Researcher, -Device LLM Efficiency

Job in San Diego, San Diego County, California, 92189, USA
Listing for: Nutanix
Full Time position
Listed on 2026-06-29
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 159100 - 238700 USD Yearly USD 159100.00 238700.00 YEAR
Job Description & How to Apply Below
Position: Senior AI Researcher, On-Device LLM Efficiency
Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Machine Learning Researcher General

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 training

Develop creative solutions with consideration of practical challenges on devices

Implementation and evaluation of possible solutions in both simulation and on-device environments

Qualifications:

Master's degree in Computer Science, Electrical Engineering, or related field4+ 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

Preferred qualifications:

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

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 disabili 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 ffing 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 :$ - $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 .
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Position Requirements
10+ Years work experience
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