View All Jobs Senior AI Researcher, On-Device LLM Efficiency San Diego, California, United States of America Apply Now Add to Job Cart Find out how well you match with this job Upload your resume Job description Company and benefits Job

ID 3097360

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. 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.

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 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 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 disability-accomodations@qualcomm.com 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.

00 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 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 . Similar jobs AI Researcher, On-Device LLM Efficiency San Diego, California, United States of America Machine Learning Researcher Posted 14 days ago Entry Level & Senior Software Engineer, AI Software Platform (Onsite) San Diego, California, United States of America Machine Learning Engineering Posted 6 days ago Staff Machine Learning Engineer

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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. 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.

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 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 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 disability-accomodations@qualcomm.com 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.

00 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 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 .