SoC Power Management Engineer
External
Xg Tech · Mapletree Business City, SingaporePrepare for this interview
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About the role
Founded in 2022, XG Tech is driving the future of smart vehicles. Its mission is to empower the digital transformation of automobiles, moving from distributed computing to a centralized, cross-domain platform. XG Tech focuses on the intelligent cockpit-the next frontier of differentiation-while seamlessly integrating advanced driving systems. By reimagining cars as mobile living spaces, XG Tech aligns with the evolving trend of vehicles becoming the "third living space." Role Summary As a SoC Power Management Engineer, you will develop and optimize underlying power management software for next-generation vehicle SoCs. Your work will enable efficient, stable, and high-performance operation of integrated cockpit and driving domain systems, spanning from low-level drivers to system-level power control.
Responsibilities
- Design, develop, and deliver system-level power management software for SoC platforms, including PLL, Clock, PMIC, DVFS, AVS, CPUFreq, CPUIdle, DevFreq, PM Runtime, Suspend/Hibernate
- Support productization, mass production, and chip function verification of power management systems
- Develop and maintain test cases to validate power system functionality and stability
- Optimize power performance and improve system stability across software and hardware layers
- Compile technical documentation, including design specifications and manuals, for power management solutions
- Collaborate closely with hardware, firmware, and system teams to ensure smooth integration and deployment
- How You Will Stand Out
- Bachelor's degree or above in Electronics, Computer Science, Automation, or related fields, with ≥5 years of experience in power management software development
- Strong expertise in Linux driver development frameworks
- Familiarity with ARM64 architecture and low-level SoC power management concepts
- Proficient in using oscilloscopes, logic analyzers, and other hardware debug tools
- Proven ability to optimize software for performance, stability, and power efficiency in complex embedded systems
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