AI Research Engineer, Senior to Level

Position: AI Research Engineer, Senior to Staff Level
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.

R&D Work Responsibility:

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

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

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

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

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

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