Skip to content

GenAI System Integration and Testing Engineer

Seekless can write your résumé for this posting first.
Before you apply
LocationBeijing, China; Shanghai, China; Guangdong, China
Also inGuangdong Province,CN
Work modeon-site
SeniorityMid
Experience1+ yrs
DepartmentMachine Learning Engineering
Company size10,000+ people
First seenOct 30, 2026 · 4d ago
Verified live17h ago
At a glanceSummarised by Seekless from the posting.
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
PhD in Computer Science, Engineering, Information Systems, or related field
Development of end-2-end AI tools, models or software to run quantized neural network models on Qualcomm leading edge hardware with optimal resource
Design and develop end-to-end test strategies and frameworks for complex software systems
Create and maintain automated test suites using modern testing tools and frameworks
Development of debugging/profiling tools and Qualcomm SDK to rapid deployment quantized models on device
Participate in code reviews and contribute to improving test coverage
Collaborate with cross-functional teams to understand requirements and design test approaches
Analyze test results and provide detailed feedback to development team
Related field at least 2 years of relevant work experience
Excellent programming capability with Python and C/C++
Knowledge on deep learning and popular frameworks PyTorch or Tensorflow
Experience on Qualcomm QNN SDK is a big plus
Strong software design, development, and debugging skills
Knowledge in Android programming is plus
Knowledge in neural network model quantization is a plus
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
Skills
Python
C/C++
PyTorch
TensorFlow
Qualcomm QNN SDK
Android
Company:
Qualcomm China
Job Area:
About the role
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
Responsibility:
•
Development of end-2-end AI tools, models or software to run quantized neural network models on Qualcomm leading edge hardware with optimal resource
•
Design and develop end-to-end test strategies and frameworks for complex software systems
•
Create and maintain automated test suites using modern testing tools and frameworks
•
Development of debugging/profiling tools and Qualcomm SDK to rapid deployment quantized models on device
•
Participate in code reviews and contribute to improving test coverage
•
Collaborate with cross-functional teams to understand requirements and design test approaches
•
Analyze test results and provide detailed feedback to development team
Preferred Skills and Experience:
•
Related field at least 2 years of relevant work experience.
•
Excellent programming capability with Python and C/C++
•
Knowledge on deep learning and popular frameworks PyTorch or Tensorflow
•
Experience on Qualcomm QNN SDK is a big plus
•
Strong software design, development, and debugging skills
•
Knowledge in Android programming is plus
•
Knowledge in neural network model quantization is a plus
Minimum Qualifications:
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master’s degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field.
Legal
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.