AI Research Engineer, Senior to Staff Level

5 Minutes ago • 1 Years +

Research Development

Job Description

Qualcomm AI Research is seeking world-class algorithm engineers specializing in general domain machine learning, deep learning, generative AI, LLM, and LVM. This role involves building advanced machine learning technology and best-in-class solutions for efficient on-device networks. You will contribute to cutting-edge research, focusing on on-device generative AI optimization, and collaborate across hardware, software, and systems teams to deploy solutions globally in leading devices like smartphones, autonomous vehicles, robotics, and IoT.

Good To Have:

Master's degree in Computer Science, Engineering, Information Systems, or related field (PhD preferred).
2+ years of experience with Machine Learning algorithms or systems engineering.

Must Have:

Research and develop algorithms for efficient generative AI, LLM, LVM, and Multi-modality.
Implement efficient inference algorithms including batching, KV caching, and speculative decoding.
Develop advanced quantization algorithms for complex generative models.
Perform model compression, including structural and neural search.
Engage in optimization-based learning and learning-based optimization.
Prototype generative AI systems.
Apply solutions for model efficiency advancement on device and in the cloud.
Proficiency in Python and Pytorch programming.

Perks:

World-class health benefit options providing comprehensive coverage to employees and their eligible dependents.
Programs designed to help employees build and prepare for a financially secure future.
Self and family resources to build emotional/mental strength and resilience, and define purpose.
Wellbeing programs and resources to support employees to Live+Well and Work+Well.

Add these skills to join the top 1% applicants for this job

cross-functional

game-texts

quality-control

prototyping

pytorch

deep-learning

python

algorithms

machine-learning

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.

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. 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 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).

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

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