Stack Data Insights Engineer for Yield & Metrology

bloomenergy; San Jose (CA); On-site; USD 95,000 - 137,000; Full time

Job summary

Bloom Energy in San Jose, CA seeks a Stack Data Analysis Engineer to join our team in a fully on-site role. You will monitor and analyze data from critical components to improve yield, performance, and capacity, and develop software tools for characterization and metrology.

Collaboration across engineering and operations is required to advance stack reliability. Candidates hold a Bachelor's or Master's in Mechanical, Electrical, or Hardware Engineering or Physics, with strong data analytics,

Qualifications

• Bachelor's or Master's in Mechanical/Electrical/Hardware Engineering or Physics.
• Experience in 2D/3D data analysis and image processing.
• Experience applying computational skills to hardware problems.
• Statistical data analysis using Excel or JMP.
• Proficiency with MySQL and Python is expected.
• Hands-on hardware prototyping is a plus; strong communication skills.

Responsibilities

• Monitor and analyze data from critical components for yield, performance, and capacity improvements.
• Develop software tools/algorithms for characterization and metrology.
• Collaborate with cross-functional teams to sustain and improve stack yield.
• Explore new software/hardware to enable new characterization and quality metrics.

Skills

Data analysis

Image processing

Computational problem solving

Statistical analysis

Interpersonal skills

Presentation

Education

Bachelor's/Master's in Mechanical/Electrical/Hardware Eng or Physics

Tools

MySQL

Python

Excel

JMP

Job description

Bloom Energy in San Jose, CA seeks a Stack Data Analysis Engineer to join our team in a fully on-site role. You will monitor and analyze data from critical components to improve yield, performance, and capacity, and develop software tools for characterization and metrology.

Collaboration across engineering and operations is required to advance stack reliability. Candidates hold a Bachelor's or Master's in Mechanical, Electrical, or Hardware Engineering or Physics, with strong data analytics,