QUALCOMM VIETNAM ★ 5.0

Company

Qualcomm Vietnam Company Limited, Hanoi Branch Office

Job Area

Engineering Group, Engineering Group > Machine Learning Engineering

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, and best-in-class solutions, 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.

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

• Algorithms research and development for efficient generative AI, LLM, LVM, Multi-modality
• 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
• Optimization based learning and learning based optimization
• Generative AI system prototyping
• Apply solutions toward system innovations for model efficiency advancement on device as well as in the cloud
• Python, Pytorch programming.
  
  
  

Minimum Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ 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 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

OR

PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Required 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.
  
  
  

Applicants: 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 [email protected] 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).

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