Senior Machine Learning Engineer
Location: Beijing, Beijing, China, Shanghai, Shanghai, China
Department: Machine Learning Engineering
Work Location: onsite
Company:
Qualcomm China
Job Area:
Engineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:
Responsibility:
- Development of end-to-end AI tools, models or software for agentic AI system on Qualcomm leading edge hardware with optimal resource
- Design and develop end-to-end test strategies and frameworks for complex agentic AI system
- 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:
- 2 years of work experience in relevant fields
- Hands-on experience with generative AI models, including LLMs and LVMs
- Excellent programming capability with software design, development, and debugging in Python (C/C++ is a plus)
- Knowledge in deep learning frameworks like PyTorch or Tensorflow
- Knowledge in transformers and Huggingface library
- Experience with Agentic AI pipeline and workflow
- Experience with Qualcomm QNN SDK is a plus
- Practical experience with Release + CI/CD Pipeline for end-to-end integration, regression, stress, performance
- Familiarity with device database such as Meta FAISS, SQL dB is a plus
- Experience with Android programming and trace analysis is a plus
- Experience using AI coding assistants such as Claude code, Codex, or Cursor 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.
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.
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