Reliability Engineering Intern

Bloom EnergyNewark, DE
2d$32 - $44Onsite

About The Position

At Bloom Energy, our vision for a world powered by clean, reliable, and affordable energy is more than just a dream—we’re making it a reality. For over two decades, we’ve been at the forefront of the global energy transition, pioneering solutions that empower critical industries to thrive in a rapidly digitizing, energy-intensive world. From revolutionizing power for AI-driven data centers to ensuring resilience for hospitals, electric grids, manufacturing facilities, and utilities, our solid oxide fuel cell (SOFC) and solid oxide electrolyzer (SOEC) technologies are redefining what’s possible by delivering energy abundance for all. With more than 30,000 fuel cell modules deployed worldwide, we are the trusted partner for Fortune 100 companies and innovators alike. Our cutting-edge solutions enable unparalleled “time-to-power” capabilities, reliability, and sustainability, ensuring our customers remain ahead in a world where soaring energy demand and intensifying energy scarcity are rapidly becoming the new norm. At Bloom, we thrive on collaboration, bold thinking, and relentless innovation. We believe that, together, we can create a brighter, more sustainable future while tackling the most pressing challenges of the 21st century. We are looking for a Reliability Analysis Engineering Intern to join our team in one of today’s most exciting technologies. This role will report to Director, Reliability Engineering and based in Newark, DE. This is a fully on-site, in office role.

Requirements

  • Currently a student earning a Bachelor’s or Master’s degree in Mechanical, Chemical, Reliability or Systems Engineering or a related discipline.
  • Must be graduating between spring 2026 and summer 2027.

Nice To Haves

  • Master’s degree or 4th year Bachelor’s degree student.
  • Strong data analysis skills, with some experience mining data form 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.
  • Preferable track of study in Reliability Engineering.
  • 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.
  • Support development of reliability models and life predictions using statistical tools.
  • Collaborate 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.
  • Prepare reports and presentations summarizing reliability findings and recommendations.
  • Drive follow-up actions on special projects as needed from conclusions of analysis.
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