Senior AI Researcher, On-Device LLM Efficiency
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Software Engineering
In short
Qualcomm is looking for a Senior AI Researcher to conduct fundamental research in LLM inference efficiency algorithms and efficient model architecture design. The role involves developing creative solutions for on-device challenges and evaluating them in simulation and on-device environments. A Master's or PhD in a related field with strong experience in deep learning, Transformers, Python, and PyTorch is required.
Responsibilities
- Research and development in LLM inference efficiency algorithms.
- Develop efficient model architecture designs.
- Conduct LLM training research.
- Develop creative solutions considering practical on-device challenges.
- Implement and evaluate solutions in simulation and on-device environments.
Requirements
- 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.
- 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.
Desired 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.
Benefits
- Competitive annual discretionary bonus program.
- Opportunity for annual RSU grants.
- Highly competitive benefits package designed to support your success at work, at home, and at play.
Skills
PythonPyTorch
#AI#LLM#Machine Learning#Research
About Qualcomm
Enabling a world where everyone and everything can be intelligently connected.
Enabling a world where everyone and everything can be intelligently connected.\n\n
Company
QualcommJob Posted
5 days ago
Employment Type
Full Time
Work mode
On Site
Salary
US$159,100–238,700 / year
Experience Level
Senior
Locations
San Diego, United States of America
Qualification
Master, Doctoral
Applicants
Be an early applicant
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