Senior AI Researcher, On-Device LLM Efficiency

QUALCOMM, Inc.; Santa Clara (CA); Sur place; USD 166 000 - 250 000; Plein temps

Résumé du poste

Qualcomm Technologies, Inc. is seeking a Machine Learning Researcher to conduct foundational ML research and create innovative methodology that achieves beyond state-of-the-art performance.

You will collaborate with cross-functional teams to advance ML across mobile, edge, auto, and IoT products. The role emphasizes on-device AI, efficient LLM inference, and practical deployment, with strong focus on Python and PyTorch, deep learning, and transformer models.

Qualifications

• Master's degree in Computer Science, Electrical Engineering, or related field.
• PhD in Computer Science, Electrical Engineering, or related field.
• 6+ months of AI research or ML model development experience.

Responsabilités

• Research and development in LLM inference efficiency algorithms, model architecture, and/or LLM training.
• Develop practical solutions for on-device deployment and real-world constraints.
• Implement and evaluate methods in simulation and on-device environments.

Connaissances

Deep learning

Transformers

Python

PyTorch

LLM reasoning

Inference acceleration

Formation

Master's degree in Computer Science/Engineering

PhD in Computer Science/Engineering

Outils

PyTorch

Description du poste

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.
• 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 [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).

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:

$166,300.00 - $249,500.00

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.