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Reliability Analysis Engineering Intern

Reliability Analysis Engineering Intern

CompanyBloom Energy
LocationSan Jose, CA, USA
Salary$34.5 – $37.5
TypeInternship
DegreesBachelor’s, Master’s
Experience LevelInternship

Requirements

  • Engineering student (Mechanical, Chemical, Reliability or Systems engineering preferred) either in final year of 4 year Bachelor’s program completed at the time internship begins or Graduate students pursuing their Master’s degree graduating by 2026
  • Strong data analysis skills, with some experience mining data from various databases and preferably experience in using JMP, Minitab or other statistical analysis programs.
  • Experience in Python and SQL preferred.
  • Some background in statistical analysis classes or work experience preferred.
  • Proficient in MS Office Suite experience.
  • Strong discipline and attention to detail for accuracy of analysis.
  • Excellent communication skills, both written and verbal, including development of presentations.

Responsibilities

  • Work with the Reliability Engineering Team to characterize performance of solid oxide fuel cells, focusing on field return units.
  • Study the different types of failures observed in fuel cells and correlate fuel cell performance with failure patterns.
  • Create a process flow and automation to assign failure reason to fuel cells for a large fleet of fuel cells.
  • Work with Quality, Remote Monitoring and Engineering teams to identify the failure modes for systems returned from the field.
  • Support Reliability team in documentation and develop a database summarizing the root cause analysis for field return units.
  • Organize and analyze data using JMP statistical analysis package to complete reliability analysis.
  • Create PowerPoint presentation summarizing the analyses completed and conclusions and recommendations.
  • Drive follow-up actions on special projects as needed from conclusions of analysis.

Preferred Qualifications

  • Experience in Python and SQL preferred.
  • Some background in statistical analysis classes or work experience preferred.
  • Preferable track of study in Reliability Engineering.