Machine Learning Engineer at Qualcomm Technologies International Ltd

Xi'an, Shaanxi, China -

Full Time

Start Date

Immediate

Expiry Date

02 Oct, 26

Salary

0.0

Posted On

04 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C++, Python, Java, LLM Inference, LVM Inference, Android, Linux, Embedded Systems, Heterogeneous Computing, Memory Optimization, Concurrency Optimization, Qualcomm NPU, Generative AI, System-level Design, Resource Management, AI Acceleration

Industry

Semiconductor Manufacturing

Description

Company: Qualcomm China Job Area: Engineering Group, Engineering Group > Software 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 Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. • 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Job Description Detailed Project Description 1. Focus on the design and implementation of key modules for the Generative AI inference runtime (Genie), enabling efficient execution of complex models on edge and embedded platforms. 2. Implement and optimize inference for large language models (LLMs) and multimodal models on embedded and edge platforms, including improvements in execution efficiency, memory management, and resource utilization. 3. Design and optimize collaboration mechanisms between the inference runtime and Qualcomm chipsets, enhancing overall system performance and scalability. 4. Resolve system‑level performance and stability issues within Generative AI platforms. 5. Collaborate across teams to drive the adoption of Generative AI inference technologies in platform‑level use cases. Skills / Experience Required 1. Deep understanding of LLM / LVM inference execution workflows, with system‑level design and implementation experience. 2. Proficient with Android / Linux development environments, with hands‑on experience on embedded or heterogeneous computing platforms. 3. Familiar with performance, memory, and concurrency optimization techniques in resource‑constrained environments. 4. Expert‑level proficiency in C++, with solid experience using Python and/or Java in system or AI engineering contexts. 5. Long‑term ownership experience with AI inference runtimes, AI acceleration technologies, or platform‑level components is a strong plus. 6. Experience with Qualcomm NPU deployment and development is highly preferred. 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. 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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Responsibilities

Design and implement key modules for the Generative AI inference runtime (Genie) to enable efficient model execution on edge and embedded platforms. Optimize LLM and multimodal model inference, focusing on memory management, resource utilization, and chipset collaboration.