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 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.

We are seeking a Sr. Staff Chemical Engineer to join our Data Science team, where you will apply deep chemical engineering expertise alongside coding, analytics, and automation to improve, scale, and optimize complex manufacturing processes. This role sits at the intersection of process engineering, data science, and software, focusing on building scalable, data-driven solutions rather than day‑to‑day operations.

This role will report to Sr. Principal Engineer, Data Sceince and is based in San Jose, CA.

This is a fully on-site, in office role 5 days a week.

Key Responsibilities

• Apply first‑principles chemical engineering to data-driven process modeling and optimization
• Develop Python-based tools, pipelines, and workflows to automate engineering analysis
• Build and maintain digital twins, soft sensors, and advanced analytics models
• Analyze large-scale manufacturing data to identify performance, yield, and reliability opportunities
• Partner with data scientists, software engineers, and process experts to deploy solutions into production
• Owns complex, ambiguous problems from model concept to deployment

Required Qualifications

• PhD or MS in Chemical Engineering (or related field)
• 6+ years of industry experience, including senior/staff-level technical impact
• Proven ability to translate chemical engineering problems into data and code

Skills

• Process modeling, scale-up, and root-cause analysis (Aspen)
• Python (NumPy, Pandas, SciPy; visualization libraries)
• Automation of engineering calculations and analysis workflows
• Working with large datasets, time-series data, and process historians(OSIsoft PI, Aspen IP21))
• ML or statistical modeling applied to physical systems

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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