Machine Learning Engineer

Company:

Qualcomm China

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

Detailed Project Description

As a machine learning engineer, you will play a critical role at deploying AI models on Qualcomm's chip. The job focuses on end-to-end performance optmization and system-level feature development. Your expertise at machine learning is expected to enhance inference efficency and accuracy of different models on Qualcomm's hardware architecutre.

Skills / Experience Required 

1. Solid hands-on skills and expereince on model deployment.
2. Good knowledge on Linux/Android development environment and tools.
3. Familiar with embedding system architecture.
4. Proficient programming skills of C/C++.
5. Model transformation skills by Python is a plus.

Education Requirements     

Degree  Major, GPA, CoursesMS in Electrical engineering, Electrical and Computer engineering, or Computer Science, MS preferred 

Minimum Qualifications:

•    Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.

• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

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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