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Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Deploy AI models on Qualcomm chips with a focus on end-to-end performance optimization and system-level feature development. Enhance the inference efficiency and accuracy of various models on hardware architecture.
Requires a Bachelor's degree in Engineering or Computer Science, with a Master's degree preferred. Candidates must be proficient in C/C++ and have hands-on experience with model deployment and Linux/Android environments.
Qualcomm China
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 Adaptation skills by Python is a plus.
Education Requirements
Degree Major, GPA, CoursesMS in Electrical engineering, Electrical and Computer engineering, or Computer Science, MS preferred
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.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers.
Inspired by 250 years of American ingenuity, we build technologies that expand what’s possible. From wireless to AI at scale and 6G, our innovations power progress worldwide.
Offices: Qualcomm, San Diego, CA 92121, US · 2 Whitefield Road, Bengaluru, Karnataka 560066, IN · Hitech City Road, Hyderabad, TS 500081, IN
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