Modeling Engineering 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.

Department Overview

The modeling team at Bloom energy is involved with guiding product development through flow/thermal modeling of fuel cell systems. Using extensive CFD simulations and thermal analysis, the team plays a crucial role in the design, development, and operation of Bloom’s products. We are looking for a Modeling Engineering (CFD and Thermal analytics) Intern to join our team in one of today’s most exciting technologies. 

Position Responsibilities

• Participate in design/development of our product
• Perform thermal/CFD modeling of various components of our product and utilize modeling results to evaluate design options
• Analyze data from various tests for thermal management
• Create detailed reports to present modeling results to cross-functional teams

Minimum Qualifications

• Currently earning or recently graduated with a Master’s or PhD degree in Mechanical Engineering, Industrial Engineering, or a related discipline.
• Must be graduating between May 2026 and August 2027

Desired Qualifications

• Above average GPA (3.5 or higher) in their graduate program
• Strong fundamentals in heat transfer, thermodynamics, and fluid mechanics
• Experience with at least one Computational Fluid Dynamics (CFD) tool like Fluent, Icepak, or Star-CCM
• Demonstratable experience with at least one professional or academic project encompassing a complete CFD analysis including preprocessing, model setup, and result interpretation
• Experience with data analysis tools like Pandas, JMP, or excel VBA
• Strong written and verbal communication skills
• Excellent presentation skills
• Curiosity to learn
• Highly motivated and a self-starter

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 $45.75 to $61.00.