Machine Learning Engineer
Qualcomm
Machine Learning Engineer
Qualcomm
Designs mobile chips and licenses wireless patents
Qualcomm China
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.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 [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).
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Qualcomm designs the Snapdragon processors and modems inside many Android phones, and it licenses its wireless patents to device makers around the world. It helped commercialize CDMA, the cellular technology behind 3G networks, and its patents cover core parts of the 4G and 5G standards that phones use to connect. The company does not run its own chip factories; contract foundries make its chips, which it sells to makers of phones, PCs, cars, and connected devices. Device makers also pay Qualcomm royalties for using its patented technology, which forms a second business alongside chip sales. Qualcomm was founded in 1985 and is based in San Diego, California.
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