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Staff Failure Analysis Engineer
Company | Bloom Energy |
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Location | San Jose, CA, USA |
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Salary | $112300 – $161700 |
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Type | Full-Time |
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Degrees | Bachelor’s, Master’s |
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Experience Level | Senior, Expert or higher |
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Requirements
- BS, MS in one of the following: Mechanical Engineering, Electrical Engineering, Industrial Engineering, Materials Science or Physics
- Minimum 8 years of Technical work experience
- Knowledge of Failure analysis techniques, and tools
- Proficiency in MS Office Suite: Word, Excel, PowerPoint, Databases
- Practical working knowledge and application of SPC
- Proficiency in the application of DOEs and ANOVA
- Ability to travel 0-20% of time
Responsibilities
- Obtain parts for failure analysis and perform investigation of the conditions prior to operation, factory build information and make a plan to perform systematic tear down and measurement to understand the root cause.
- Ensure priority is given to fast-track FA for critical parts.
- Document the failure analysis results in detail including word description, pictures, measurements, etc. as evidence to the results, and conclusions.
- Work with in-house engineers, or quality personnel to utilize equipment to perform the failure analysis.
- Utilize 3rd party labs as necessary for analysis that Bloom does not have inhouse capability.
- Work cross functionally with Service, Install Quality, Reliability, SQE, and Logistics to address failures expeditiously.
- Work cross functionally with Factory, Design, Install Quality, SQE to mitigate and prevent failures.
- Build lessons learned into the next generation products.
- Create metrics to measure failed parts, and turn around times for FA.
- Determine the sampling plan for failed parts when repetitive symptoms are indicating a known problem.
- Work with Engineering to “turn on” and “turn off” the failure modes in testing.
- Work with controls team and the data analytics team to add detection of early symptoms of field issues that are happening after some time in the field.
- Work with Engineering to improve self diagnostics of products to “annunciate” their potential failures based on changes in self monitored values.
- Work with Fleet Analytics leader to inform of potential failure modes, and symptoms that may be indicative, so proactive sweeps can be done.
Preferred Qualifications
No preferred qualifications provided.