4 days ago
Chengdu, ChinaEntry Level
Responsibilities
- Triage and resolve application and system functionality and performance issues on Qualcomm compute platforms.
- Develop features that improve power and performance on Qualcomm computer platforms.
- Migrate open-source projects to ARM architecture to improve compatibility and performance.
- Drive AI-native software development lifecycle transformation and establish practices across the software lifecycle.
- Collaborate with chipset teams on system performance projection, analysis, and optimization.
- Collaborate with technical, program management, and customer engineering teams to promote the Windows-on-ARM ecosystem in China.
- Research and learn emerging technologies in computing.
Requirements
- Bachelor’s degree or above in Computer Science, Electrical Engineering, Information Systems, or a related field.
- At least one year of embedded software experience with proficiency in C, C++, and Python and hands-on performance analysis and optimization on Windows or Android.
- Basic knowledge of operating-system kernels, including Windows, Linux Kernel, or embedded RTOS kernels.
- Understanding of compute-platform hardware and software architecture.
- Strong knowledge of AI-assisted reliability engineering, root cause analysis, and failure investigation methodologies.
- Familiarity with ARM architecture and experience in ARM-based low-level software development are preferred.
- Experience with Windows kernel, application or driver development, and debugging is preferred.
- Experience analyzing and optimizing Windows power and performance using ETW logs, Windows Performance Toolkit, or Xperf is preferred.
- Experience with AI agents, workflow automation, and AI-native development practices is preferred.
- Chinese and English communication capabilities are required or preferred, with fluent spoken English preferred.
About Qualcomm
Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.