特斯拉可靠性设计工程师Mechanical Reliability Engineer
社招全职研发-动力&能源工程地点:上海状态:停招♡ 收藏
工作描述
任职要求 What to Expect As a Mechanical Reliability Engineer you will play a key role in designing reliability into Tesla’s charging&energy product ensuring the products meet the highest standards of reliability. This role follows the reliability lifecycle of the product from concept to design, validation testing/analysis, manufacturing, and field operation to design-in, confirm, and grow exceptional reliability at every stage. You will investigate failures through physics of failure analysis and physical testing to accurately predict the system’s robustness and optimize product reliability while accelerating Tesla’s next gen products’ time to market. This role is ideal for an Engineer who is passionate about reliability physics, enjoys problem-solving, and thrives in a fast-paced collaborative environment. What You’ll Do Facilitate Design FMEA sessions to detect risks, drive reliable design choices and inform validation testing Set and communicate reliability requirements and targets for site, product, subsystem, and components Define reliability test plans, design test conditions, set test duration and sample size, based on physics of failure modeling and accelerated life testing principles Analyze lab test data and field data to identify reliability trends, forecast reliability estimates utilizing statistical analysis (e.g., Weibull analysis, physics of failure models) and recommend …
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包括英文材料
Electron+
https://www.electronjs.org/zh/docs/latest/tutorial/tutorial-first-app
学习如何创建您的 Electron 项目,并且编写一个简单的入门程序。
https://www.youtube.com/watch?v=fP-371MN0Ck
Learn how to use Electron, React, and TypeScript to build desktop applications.
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.
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