Machine Learning Engineer

##

Company:

Qualcomm China

## Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

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.

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.

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