Senior AI Research Quantization Engineer

General Summary

Qualcomm AI Research is looking for world-class algorithm engineers in general domain machine learning, especially deep learning, generative AI, LLM, LVM. Come join a high-caliber team of engineers building advanced machine learning technology, best-in-class solutions, and user-friendly model optimization tools such as Qualcomm Innovation Center’s AI Model Efficiency Toolkit () to enable state-of-the-art networks to run on devices with limited power, memory, and computation.

Members of our team enjoy the opportunity to participate in cutting edge research while simultaneously contributing technology that will be deployed worldwide in our industry-leading devices. You will be part of a multi-disciplinary talented team working on on-device generative AI optimization. Collaborate in a cross-functional environment spanning hardware, software and systems. See your design in action on industry-leading chips embedded in the next generation of smartphones, autonomous vehicles, robotics, and IOT devices.

• Algorithms research and development for efficient generative AI, LLM, LVM, Multi-modal, VLA
• Efficient inference algorithms, e.g. batching, KV caching, efficient attentions, long context, speculative decoding
• Advanced quantization algorithms for complex generative models, e.g., gradient/non-gradient based optimization, equivalent/non-equivalent transformation, automatic mixed precision, hardware in loop
• Model compression, lossy or lossless, structural and neural search
• Generative AI system prototyping
• Apply solutions toward system innovations for model efficiency advancement on device as well as in the cloud
• Python, Pytorch programming

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• Master’s degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• PhD in Computer Science, Engineering, Information Systems, or related field.

• Master’s degree in Computer Science, Engineering, Information Systems, or related field. PhD’s degree is preferred.
• 2+ years of experience with Machine Learning algorithms or systems engineering or related work experience.

$ - $. Please note that salary is only one component of total compensation. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants.

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 disabilit or call Qualcomm’s toll-free number. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able to participate in the hiring process.

Qualcomm is also committed to making our workplace accessible for individuals with disabilities.

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.