Senior Research Engineer for On-Device LLM Efficiency
Job Summary
Job Description
- Master's degree in AI, Computer Science, Engineering, Information Systems or related
- 3+ years of machine learning research experience.
- Strong background in computer science and deep learning basics.
- Strong programming skills in Python and PyTorch.
- Experience in LLM reasoning or inference acceleration research.
- PhD in AI, Computer Science, Engineering, Information Systems, or related field
- 2+ years of machine learning, deep learning, and/or NLP research experience
- Experience of on-device AI model production or exposure to mobile / edge device environments
- First author publications experience at major AI conferences, e.g., NeurIPS, ICML, and ICLR
3 skills required
Job Details
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.
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 engineering on efficiency of LLM inference and decoding, e.g., speculative decoding, token-wise conditional computing, architecture design
- Generation of creative solutions with consideration of practical challenges and restrictions on devices
- Implementation and evaluation of possible solutions in both simulation and on-device environments
- Contribution to research paper publications
Minimum qualifications:
- Master's degree in AI, Computer Science, Engineering, Information Systems, or related field and 3+ years of machine learning research, or related work experience.
- Strong background in computer science and deep learning basics
- Strong programming skills in Python and PyTorch
- Experience in LLM reasoning or inference acceleration research
Preferred qualifications:
- PhD in AI, Computer Science, Engineering, Information Systems, or related field
- 2+ years of machine learning, deep learning, and/or NLP research experience
- Experience in LLM reasoning or inference acceleration research
- Experience of on-device AI model production or exposure to mobile / edge device environments
- First author publications experience at major AI conferences, e.g., NeurIPS, ICML, and ICLR
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 - $238,700.00The 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.
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