Company:

Qualcomm China

Job Area:Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

Qualcomm AI Research is looking for world-class algorithms engineers in general domain machine learning, especially generative AI, LLM, LVM, VLM, AI agent. 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 (https://github.com/quic/aimet) 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, PC, autonomous vehicles, robotics, and IOT devices.

The R&D work responsibility for this position focuses on the following

Algorithms research and development in the area of Generative AI, LVM, LLM, Multi-modalityEfficient inference algorithms research and development, e.g. batching, KV caching, efficient attentions, long context, parallel decodingAdvanced quantization algorithms research and development for complex generative models, e.g. GPTQ, Aumatic mixed precision, llama.cpp,  Model compression, lossy or lossless, structural and neural search, distillation.Optimization based learning and learning based optimization.Generative AI Systems prototyping, e.g. AI agent.Apply solutions toward systems innovations for model efficiency advancement on device as well as in the cloud.Python, Pytorch programmer, C/C++

Preferred Qualifications:

•    Master's degree in Computer Science, Engineering, High Performance Computation, Information Systems, or related field. PHD's degree is preferred.

•    3+ years of experience with Machine Learning algorithms or systems engineering or related work experience.

Minimum Qualifications:

• 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.
OR
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.
OR
PhD in Computer Science, Engineering, Information Systems, or related field.

Preferred Qualifications:

•    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.

All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.

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).

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.

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If you would like more information about this role, please contact Qualcomm Careers.