Machine Learning Engineer
SunGreenH2
Software Engineering
Xi'an, Shaanxi, China
Posted on Mar 14, 2026
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
MS in Electrical engineering, Electrical and Computer engineering, or Computer Science, MS preferred
Minimum Qualifications
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.
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.
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
- Solid hands-on skills and expereince on model deployment.
- Good knowledge on Linux/Android development environment and tools.
- Familiar with embedding system architecture.
- Proficient programming skills of C/C++.
- Model transformation skills by Python is a plus.
MS 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.
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 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.