AI Infrastructure Software Engineer

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Company:

Qualcomm China

## Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

Role Summary

We are seeking a strong software engineer to do NPU Infrastructure development. This role focuses on AI Infrastructure related feature and capability developement. The engineer will work closely with internal AI / platform / kernel teams and external OEM customers to accelerate feature delivery, reduce customer integration complexity, and improve overall development efficiency and debuggability for NPU-based solutions.

Key Responsibilities

• Design, develop, and maintain NPU-related new features and customer requirements on Qualcomm platforms, ensuring timely delivery for new platform and commercialization needs.
• Participate in NPU driver new feature development and optimization, including performance, stability, and maintainability improvements for Hexagon related use cases.
• Optimize NPU RPC performance and software interaction paths to reduce customer integration overhead and improve end-to-end efficiency for NPU algorithm deployment.
• Improve NSP algorithm integration efficiency for Qualcomm platform customers by enhancing software enablement, debug methodology, and issue analysis workflow.
• Drive urgent issue resolution for customer NSP algorithm integration, including debugging, root-cause analysis, workaround alignment, and blocker closure.
• Collaborate with AI software, driver, kernel, and platform teams to support Linux-based application / driver development and platform enablement on NPU.
• Contribute to technical guidance, API usage support, and development best practices to improve customer adoption efficiency on Qualcomm NPU / Hexagon software stacks.

Basic Qualifications

• Bachelor’s, Master’s, or above in Computer Science, Electrical / Computer Engineering, or a related field.
• Solid capability in embedded system design and software development.
• Strong programming skills in C/C++, with hands-on experience in Linux application development and Linux driver development.
• Proficient in using AI development tools such as Claude and Codex to improve development efficiency.
• Good team spirit, effective communication, and strong problem-solving skills.
• Good English listening, speaking, reading, and writing skills.

Preferred Qualifications

• Experience with Qualcomm platform AI software development, such as QNN, SNPE, and Hexagon SDK.
• Experience in RPC driver development and/or RPC performance optimization.
• Experience with Linux PCIe-related development, especially for NPU / GPU or heterogeneous compute subsystems.
• Experience with NPU/GPU driver-related development, debugging, or performance tuning.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

• 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

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