安克创新Senior Failure Analysis Engineer - Electronics
社招全职研发地点:洛杉矶状态:招聘
工作描述
Qualifications Basic Qualifications: * Bachelor's degree in Electrical Engineering, Electronics Engineering, Physics, Microelectronics, or a related technical discipline; Master's degree preferred. * 8+ years of professional experience in electronics or hardware failure analysis, product quality engineering, sustaining engineering, or a closely related field. * Demonstrated ability to independently perform board, circuit, and component-level failure analysis, identify root causes, and recommend effective corrective actions. * Strong knowledge of PCBA design, electronic components, circuit behavior, and common electronic failure mechanisms. * Hands-on experience with diagnostic and analytical equipment such as oscilloscopes, digital multimeters, electronic loads, logic analyzers, X-ray systems, and thermal imaging equipment. * Strong understanding of power and functional modules such as PMUs, SoCs, charging ICs, Buck/Boost converters, and LDOs. * Experience troubleshooting communication protocols and interfaces such as I2C, SPI, I2S, PCIe, UART, and CAN. * Strong knowledge of structured root cause analysis methodologies, including 5 Whys, Fault Tree Analysis (FTA), Fishbone/Ishikawa analysis, and Design of Experiments (DOE). * Experience developing 8D reports and managing corrective and preventive actions (CAPA) through closure. * Strong technical communication and documentation skills, including the ability to independently prepare detailed failure analysis reports. *Ability to collaborate effectively with globally distributed engineering teams. Preferred Qualifications: * Experience with consumer electronics, IoT devices, smart hardware, robotics, automotive or other high-volume electronic products. * Experience developing or standardizing failure analysis methodologies, troubleshooting procedures, engineering specifications, or diagnostic rules. * Experience building or maintaining failure case databases, engineering knowledge bases, or structured root-cause repositories. * Experience applying AI, machine learning, knowledge systems, or AI-assisted diagnostic tools to engineering or failure analysis workflows. * Demonstrated experience independently leading complex cross-functional technical investigations or engineering projects. * Previous technical leadership, mentoring, or team leadership experience is a plus. Global Collaboration This role works closely with engineering and quality teams across multiple regions, including teams based in China. Some flexibility for cross-time-zone collaboration is required, including approximately two evening virtual meetings per week, depending on business and project needs. We strive to schedule cross-regional collaboration thoughtfully and provide reasonable flexibility around working hours when evening meetings are required. Perks of Benefits: Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their…
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包括英文材料
Ray+
https://github.com/ray-project/ray
Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
https://www.youtube.com/watch?v=FhXfEXUUQp0
In this video, I'll teach you everything you need to know about Apache Ray!
https://www.youtube.com/watch?v=fMiAyj2kgac
Using powerful machine learning algorithms is easy using Ray.io and Python.
https://www.youtube.com/watch?v=q_aTbb7XeL4
Parallel and Distributed computing sounds scary until you try this fantastic Python library.
IOT+
https://microsoft.github.io/IoT-For-Beginners/#/
Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 24-lesson curriculum all about IoT basics.
https://www.ibm.com/think/topics/internet-of-things
The Internet of Things (IoT) refers to a network of physical devices, vehicles, appliances, and other physical objects that are embedded with sensors, software, and network connectivity, allowing them to collect and share data.
https://www.youtube.com/watch?v=1KVrBjSqS5s
The term 'Internet of Things' was coined by Kevin Ashton in 1999 to refer to connecting the Internet to the physical world via sensors.
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