Hiring.Camp

Machine Learning Engineer

Qualcomm

·

Today

Location
Shenzhen, Guangdong Province,CN, CN · Xi'an, Shaanxi,CN, CN
Type
Full-time
Department
Engineering
Education
Bachelor
Source
Eightfold

Description

##

Company:

Qualcomm China

## Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

Detailed Project Description

1\. Participate in the development and optimization of Generative AI inference runtime (Genie), improving large‑model execution efficiency on edge and embedded platforms.

2\. Develop and maintain core modules of the GenAI Runtime, including model execution flows, resource scheduling, and runtime tools.

3\. Support deployment and tuning of large language models (LLMs) and multimodal models on edge platforms, optimizing performance, memory footprint, and stability.

4\. Assist in analyzing and resolving issues encountered during Generative AI runtime execution, supporting successful model and application enablement.

5\. Collaborate with cross‑functional teams to drive adoption of Generative AI inference technologies in platform‑level scenarios.

Skills / Experience Required

1\. Familiar with deployment methodologies for large models (LLM / LVM), with strong hands‑on engineering and coding capabilities.

2\. Proficient in Android / Linux development environments and commonly used debugging tools.

3\. Understanding of performance and memory optimization strategies in resource‑constrained environments.

4\. Proficient in C++, with working experience in at least one of Java or Python.

5\. Hands‑on experience with AI inference runtimes, AI acceleration, or edge AI deployment.

6\. Experience with Qualcomm NPU deployment and development is a strong plus.

Minimum Qualifications:

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

Skills

PythonJavaLinuxAndroid

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Machine Learning Engineer at Qualcomm | Hiring.Camp