Process Engineering Intern
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. Department Overview The Yield Team drives continuous improvement and process predictability through data-driven analysis.
Requirements
- Currently a student earning a bachelor's degree or master's degree in data science, Data Analytics, Mathematics, Industrial engineering or operations research.
- Proficiency in programming languages used for data analysis (Python or R) and strong SQL skills for data extraction. Experience with data visualization tools is a significant plus
- Must be graduating between May 2026 and August 2027
Nice To Haves
- Working knowledge of PC business software applications (Word, Excel, PowerPoint, etc.)
- Highly motivated and a self-starter
- Excellent organizational skills
- Strong oral and written communication skills
- Proven and demonstrated teamwork skills
Responsibilities
- Assist in collecting, cleaning, and analyzing large data sets related to manufacturing processes, quality control, and production yield. Develop and apply statistical models to identify trends, root causes of yield loss and opportunities for improvement
- Collaborate with engineering, manufacturing, and quality teams to translate data driven insights into actionable recommendations that lead to measurable yield increases and cost reductions.
- Create and maintain dashboards and automated reports using tools like PowerBI or internal systems to track KPIs related to yield throughput and efficiency
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What This Job Offers
Career Level
Intern
Industry
Electrical Equipment, Appliance, and Component Manufacturing
Number of Employees
1,001-5,000 employees
