Failure Analysis Data Intern

This is a 10-week internship starting June 8 or 15 and is fully on-site at the listed office location.

Company Overview

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.

The Quality and Reliability department is looking for a Failure Analysis Data Intern to join its world class team.  This individual should be a dynamic professional who is looking for a rewarding future in one of today’s most exciting technologies.

Location: This position will be based in ­­­­ San Jose, CA.

Role and Responsibilities

• Support the Failure Analysis Team from Quality Organization.
• Perform troubleshooting of the failed component(s) to determine the root cause(s).
• Perform Testing and instrumentation of the test setup to validate the failures.
• Data collection and data Mining from the sensors.

Minimum Qualifications

• Currently a student earning a Bachelor’s or Master’s degree in Computer Science, Software engineering, Electrical engineering, Data Science, Statistics or related or a related discipline
• Must be graduating between spring 2026 and summer 2027

Desired Qualifications

• Master’s degree preferred
• Develops and systematically analyzes statistical data to determine standards
• Python - Data Analysis/Visualization, Automation
• Proficient with Python/R/Java/Go or similar language – (Prefer Python)
• Experience with algorithm development and implementation (Python desired)
• Familiarity with NoSQL databases like MongoDB, Hadoop and REST APIs
• Conducts RCCAs, prescribes CA and PA as necessary to prevent recurrence and verifies/validates effectiveness
• Strong independent problem-solving skills
• Excellent verbal and written communication skills.
• Ability to operate under minimal supervision
• Proficiency in the application of DOEs and ANOVA
• Proficiency in MS Office Suite: Word, Excel, PowerPoint, Databases
• Hands on approach to get things done

Visa Sponsorship  
Bloom Energy is unable to provide VISA sponsorship to interns or new grad hires on an F-1, J-1 or other visa for this position, regardless of CPT or OPT status.

EOE Statement
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 accommodation, 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.

Salary Statement with pay range
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.

The pay range for this position $36-50 per hour

Salary Ranges:

$45.75 - $50.00