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:

• Conduct research and development in

a) Efficient generative AI algorithms (LLM, LVM, multi-modal models)

b) Retrieval-Augmented Generation (RAG) pipelines and fine-tuning strategies

c) Agentic frameworks using Lang Chain, Lang Graph, and related tools

• Develop and prototype agentic systems that integrate LLMs with tool use, memory, and reasoning capabilities

• Collaborate across software, and systems teams to optimize on-device and cloud-based AI performance

• Build robust Python and Py Torch-based research infrastructure and production-ready code

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.

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:

• PhD in Computer Science, Engineering, Information Systems, or a related field is strongly preferred; alternatively, a Master’s degree with exceptional applied experience.

• Minimum 2 years of hands-on experience in machine learning algorithms, systems engineering, or closely related fields, with a strong preference for candidates who have contributed to real-world product development or deployment.

• Demonstrated industry experience, either through internships during graduate studies or post-degree roles, with a track record of applying research to practical systems.

• Experience working in cross-functional teams to bring AI technologies from prototype to production is highly valued.

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 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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