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.

Department Overview

The Computational and Decision Sciences (CDS) group is a multidisciplinary team at the intersection of data science, optimization, and systems engineering. We specialize in transforming complex engineering challenges into data-driven solutions by leveraging advanced analytics, machine learning, simulation, and decision theory. Our mission is to empower strategic and operational decision-making across the company—whether it's optimizing supply chains, improving product reliability, or enhancing R&D efficiency. By combining deep domain expertise with cutting-edge computational tools, CDS drives innovation, efficiency, and competitive advantage.

Position Responsibilities

• Assist in analyzing diverse sets of imperfect data and finding common patterns, themes and trends by using Big Data tools and machine learning
• Develop APIs that would store process data, run analytics, generate KPIs
• Build clear and concise data visualization dashboards 

Minimum Qualifications

• Currently a student earning a Bachelor’s or Master’s degree in Data Science, Chemical Engineering, Electrical/Computer Science Engineering, or a related discipline.
• Must be graduating between spring 2026 and August 2027

Desired Qualifications

• Strong background in data analysis techniques
• Proficient with Python/R/TypeScript/Rust/Go or similar language
• Experience with functional or object-oriented scalable software design and development
• Experience with algorithm development and implementation
• Familiarity with NoSQL databases like MongoDB, Hadoop and REST APIs
• Working with open-source databases and tools
• Strong analytical and problem-solving skills
• Comfortable working in teams

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 salary range for this position is $36-$50 per hour.

Salary Ranges:

$36.00 - $39.00