AI Research Engineer

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Company:

Qualcomm Vietnam Company Limited, Hanoi Branch Office

## Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.

Preferred Qualifications:

• Master's degree in Computer Science, Engineering, Information Systems, or related field.

• 1+ year of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).

• 1+ year of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).

• 1+ year of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++)

• 1+ year of experience using statistics and probability (e.g., conditional probability, Bayes rule).

• 1+ year of experience working in a large matrixed organization.

• 6+ months of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.

Principal Duties and Responsibilities:

• Applies Machine Learning knowledge to assist in extending training or runtime frameworks or model efficiency software tools with new features and optimizations.

• Assists in the modeling, architecture, and development of machine learning hardware (co-designed with machine learning software) for inference or training solutions.

• Assists in the development of optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with team members for joint design and development.

• Assists with the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.

• Develops, adapts, or prototypes machine learning algorithms, models, or frameworks in alignment with product roadmap.

Level of Responsibility:

• Works under supervision.
• Decision-making affects direct area of work and/or work group.
• Requires verbal and written communication skills to convey basic, routine factual information.

• Tasks consist of a limited number of steps and can be referenced using directions or manuals.

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).

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.