Machine Learning Engineer

2 weeks ago

Beijing, China Qualcomm Full time


Company:

Qualcomm China

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.

Minimum Qualifications:

-Bachelor's degree in Computer Science, Engineering, Information Systems

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.

- Working experience in generative AI models (LLM and LVM)

- Excellent programming capability with Python and C/C++

- Knowledge on deep learning and popular frameworks PyTorch or Tensorflow

- Knowledge in transformer and Huggingface library

- 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

All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.

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 or call Qualcomm's toll-free number found . 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.

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