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 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 Sr. Director Product Reliability and based in San Jose, CA. This is a fully on-site, in office role.

Role and 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.

Skills and Experience:

• 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
• This internship program is from June to August 2025
• 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.

Bloom Energy is an equal opportunity employer and makes employment decisions on the basis of merit. We are committed to compliance with all applicable laws providing equal employment opportunities. All qualified applicants, will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, or on the basis of disability. Bloom Energy makes reasonable accommodations, consistent with applicable laws, for the known physical or mental limitations of an otherwise qualified applicant or employee with a disability, who can perform the essential job functions, unless undue hardship would result.

Bloom Energy is committed to fair and equitable compensation practices. The total compensation for this position is based on various factors including, but not limited to, relevant skills and experience.

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Salary Ranges:

Salary : $35 - $38