AI Software Engineer
SunGreenH2
Software Engineering, Data Science
Xi'an, Shaanxi, China
Posted on Apr 2, 2026
Company:
Qualcomm China
Job Area:
Engineering Group, Engineering Group > Software Engineering
General Summary:
General Summary:
As a machine learning engineer, you will play a critical role at deploying AI models on Qualcomm's chip. The job focuses on performance optimization at graph transformation, scheduler and individual operator. Your expertise at machine learning is expected to enhance inference efficiency and accuracy of different models on Qualcomm's hardware architecture.
Skills / Experience Required
Master's degree 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:
General Summary:
As a machine learning engineer, you will play a critical role at deploying AI models on Qualcomm's chip. The job focuses on performance optimization at graph transformation, scheduler and individual operator. Your expertise at machine learning is expected to enhance inference efficiency and accuracy of different models on Qualcomm's hardware architecture.
Skills / Experience Required
- Familiar with operator development, performance optimization, model quantization.
- Proficient programming skills of C/C++/Python.
- Large Language Model knowledge is a plus.
- Good knowledge on Linux/Android development environment and tools.
- Familiar with embedded/computer hardware architecture.
- 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.
- 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
- Master's Degree in Engineering, Information Systems, Computer Science or related field.
- 2+ years of Software Engineering or related work experience.
- Participate in research on state-of-the-art models, improve forward propagation computational efficiency on the Qualcomm Snapdragon Neural Network development platform, enhance model computation accuracy, and deliver high-quality results.
- Participate in software development based on Qualcomm intelligent driving platforms
- Develop and deploy AI solutions based on Qualcomm platforms.
- Bachelor's degree 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.