Process Development Engineer Intern: Scale-Up & Innovation

Bloom Energy; San Jose (CA); On-site; USD 50,000 - 69,000; Full time

Job summary

Bloom Energy is seeking a summer intern for the New Product Introduction (NPI) Stack Team to help scale and optimize manufacturing processes for high‑volume production. You will work with Operations, Manufacturing, and Engineering to understand constraints, develop novel solutions, and contribute to cycle time, throughput, yield, and process efficiency.

The role emphasizes collaboration, hands‑on experimentation, data analysis, and documentation.

Qualifications

• Currently a student earning a Bachelor’s or Master’s degree in Chemical or Materials Science Engineering or a related discipline.
• Must be graduating between Spring 2027 and August 2028

Responsibilities

• Conduct first of the kind experiments for testing new processes and support prototype builds.
• Implement DOEs and support data collection and analysis to help establish process windows, create specifications, enhance manufacturability, improve yield and qualify suppliers.
• Develop and execute test plans to qualify new processes, inspection and measurement systems and present data and results to Technical teams.
• Work with manager or other engineers on team to conduct Root-cause analysis, troubleshoot yield and/or process excursions and provide failure analysis support.
• Create work instructions and other associated process documentation to facilitate process transfers to Manufacturing

Skills

Strong communication skills

Lab experience

Data analysis

Root-cause analysis

Education

Bachelor’s or Master’s degree in Chemical or Materials Science Engineering

Job description

Bloom Energy is seeking a summer intern for the New Product Introduction (NPI) Stack Team to help scale and optimize manufacturing processes for high‑volume production. You will work with Operations, Manufacturing, and Engineering to understand constraints, develop novel solutions, and contribute to cycle time, throughput, yield, and process efficiency.

The role emphasizes collaboration, hands‑on experimentation, data analysis, and documentation.