Sr. Predictive Analytics Engineer Operational Excellence

At Bloom Energy our vision for a world powered by clean reliable and affordable energy is more than just a dreamwere making it reality.

For over two decades weve 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 whats possible by delivering energy abundance for all. With more than 30000 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.

We are looking for aSr. Predictive Analytics Engineer - Operational Excellence - to join our team in one of todays most exciting technologies. This role will be based inSan Jose CA

This is a fully on-site in office role.

Role and Responsibilities:

• Provide engineering and technical guidance to promote the achievement of all reliability quality cost and delivery goals for all components.
• Provide support to the Quality Engineering Supply Chain Quality Manufacturing Quality and PCS Quality the existing policies and procedures to achieve zero-defect flow (dock-to-stock) for all purchased contract manufacture parts materials and Bloom Energy manufactured parts.
• Measure and categorize quality costs into prevention appraisal internal failure and external failure metrics using data from ERP and quality management systems.
• Drive component and design failures back to the earliest point of detection in the process.
• Work with the product engineering team to teach and perform early stage risk assessments (DFMEA .) and establish reliability testing programs for all components; electrical mechanical electromechanical and raw materials to meet life-in-service business plans.
• Responsible for Cost of Quality monitoring and tracking. Ensure accuracy of the data and work with each functional owner to break down cost into second third and fourth level paretos with root cause analysis
• Initiate support and/or lead activities related to quality continuous process improvement qualification and reduction in cost of poor quality.
• Lead critical problem solving task forces with emphasis on cross functional inputs accountability time to RCCA and ensurance of mitigation of inventory or field units at risk.
• Perform data-driven root cause failure analyses for design manufacturing and administrative problems.
• Demonstrate the ability to interface and work collaboratively across departments internally and with suppliers and customers (including Purchasing Quality R&D Manufacturing Product Engineering Marketing and Finance) while building strong and cooperative working relationships.

Skills and Experience:

• 10 years of increasing responsibility in the areas of Quality Manufacturing and Reliability.
• Proven successful application of multi-discipline engineering problem solving techniques.
• Understand the critical elements of modern Manufacturing Statistical Process Control (e.g. practical working knowledge and experience with SPC Process Capability Cp Cpk etc.)
• Strong verbal/active listening/written communications.
• Demonstrate planning and leadership skills.
• Familiarity with metrology calibration and Gage R & Rs.
• Experience in Quality System Auditing.
• Experience in product phase-gate NPI and technology transfer.
• Experience applying PPAP First Article Inspections (FAI) and Reports).
• Strong critical thinking analytical skills and problem solving.
• Drive material quality improvement through supplier manufacturing process using incoming and in-process data gathering and analysis.
• Ability to effectively work within a very intense dynamic fast-paced and demanding work environment.
• Proficiency in the use of Microsoft Office Suite and statistical software.
• Possess a passion for excellence.
• BS MS or PhD in Mechanical/Material Science/Chemical/Electrical/Systems Engineering.

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 accommodations 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.

Bloom Energy is committed to fair and equitable compensation practices. The total compensation for this position includes standard company benefits and is based on various factors including but not limited to relevant skills and experience.

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