Role and Responsibilities:

• Collaborate with Remote Monitoring Control Center Engineers and Operators to understand requirements and develop tools, dashboards and solutions to support daily operations.
• Develop and maintain automated scripts to cover various aspects fuel cell operations, including UI and backend.
• Identify opportunities to automate and optimize existing workflow, processes and reports.
• Evaluate and implement appropriate automated, scalable tools and processes for new Bloom product/offering/solutions.
• Collaborate with cross-functional team improving alarms and failure detection

Minimum Qualifications:

• Bachelor’s degree in computer science, software engineering, electrical engineering, mechanical engineering, or related with a graduation date between May 2024 and August 2025

Desired Qualifications:

• Proficient with Python/R/Java/Go or similar language – (Prefer Python)
• Experience with algorithm development and implementation (Python desired)
• Familiarity with NoSQL databases like MongoDB, Hadoop and REST APIs
• Working with open source databases and tools
• Strong ability to identify, analyze, and solve problems is essential
• Effective communication and teamwork skills are important for collaborating with other engineering departments and stakeholders

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.
Salary Ranges:
$82,000.00 - $118,000.0

• Collaborate with Remote Monitoring Control Center Engineers and Operators to understand requirements and develop tools, dashboards and solutions to support daily operations.
• Develop and maintain automated scripts to cover various aspects fuel cell operations, including UI and backend.
• Identify opportunities to automate and optimize existing workflow, processes and reports.
• Evaluate and implement appropriate automated, scalable tools and processes for new Bloom product/offering/solutions.
• Collaborate with cross-functional team improving alarms and failure detectio