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  3. AI Software Engineer

AI Software Engineer

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Qualcomm logo

AI Software Engineer

Qualcomm

Location

Xian, Shaanxi, China

Experience

Mid

Posted

Jul 14, 2026

Apply by

August 13, 2026

Applicants

0

Early applicantEasy applyFull-timeWork from Office

Sign in to apply on web or download the app for more options.

Job Description

## Company: Qualcomm China ## Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Detailed Project Description As a machine learning engineer, you will play a critical role at deploying AI models on Qualcomm's chip. The job focuses on end-to-end performance optmization and system-level feature development. Your expertise at machine learning is expected to enhance inference efficency and accuracy of different models on Qualcomm's hardware architecutre. Skills / Experience Required 1. Solid hands-on skills and expereince on model deployment or OP development. 2. Good knowledge on Linux/Android development environment and tools. 3. Familiar with embedding system architecture. 4. Proficient programming skills of C/C++. 5. Model Adaptation skills by Python is a plus. Education Requirements Degree Major, GPA, CoursesMS in Electrical engineering, Electrical and Computer engineering, or Computer Science, MS preferred 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 disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found [here](https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028). 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](http://www.qualcomm.com/contact/corporate).

Key Responsibilities

  • Deploy AI models on Qualcomm's chip architecture
  • Perform end-to-end performance optimization
  • Develop system-level features
  • Enhance inference efficiency and accuracy of models

Requirements

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

Skills Required

CC++LinuxAndroidModel DeploymentOP DevelopmentEmbedding System ArchitecturePythonModel Adaptation

Benefits

  • Health
  • Wealth
  • Self
  • Wellbeing

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Job Overview

Salary

—

Job Type

Full-time

Experience

Mid

Location

Xian, Shaanxi, China

Application Deadline

August 13, 2026

Total Applicants

0

About Qualcomm

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Qualcomm is a leading company in the Technology sector, known for innovation and employee-centric culture.

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