Are you ready to build America's energy future? Form Energy is an American manufacturing and energy technology company. We're revolutionizing energy storage with cost-effective, multi-day technology designed to keep the electric grid secure and reliable, even during extended periods of stress. By strengthening the electric system and reimagining what's possible, we're giving clean energy a whole new form!
In recent years, Form Energy has earned a number of accolades, including being named by TIME as a "Best Invention", MIT Technology Review as a "Top Climate Tech Company To Watch", and Fast Company as "One of the Next Big Things In Tech". We are making rapid progress on our mission of delivering energy storage for a better world, and our team is growing just as rapidly to meet demand. We have signed contracts with leading electric utilities across the United States and production of our iron-air batteries is underway at our first high-volume manufacturing facility in West Virginia.
Working for Form Energy is more than just a job, it's a chance to be part of something extraordinary. And now - right as we significantly scale up battery manufacturing - might be the most exciting moment in the company's history to join. We are assembling a team of highly talented and driven individuals across the country. Driven by our core values of humanity, excellence, and creativity, our team is determined to deliver on our mission and transform the energy landscape for the better.
Feeling energized to make a meaningful impact on the world? Then keep reading - you've come to the right place.Role DescriptionWe are seeking a Process Engineer (Data focus) to join our world-class Operations Sustaining team. Our Operations Sustaining Team is a cross-disciplinary group of experts in Mechanical, Process, and Manufacturing engineering. Together, we're responsible for sustaining, developing, and improving our cutting-edge manufacturing processes for Form Energy's Iron-Air multi-day battery.
This role sits at the intersection of data engineering and process engineering. You will be responsible for providing data analytics and custom data views in support of manufacturing operations for electrode, cell, and final battery assembly. You will work with data engineering partners within Form's Platform and Factory Software teams, as well as process engineers and supervisors within manufacturing. You will use your strong background in data and process engineering within an industrial environment to integrate, share, and deepen process data systems for our first of a kind manufacturing facility. This is an exciting opportunity to help shape and be part of the growth of a fast-moving company with breakthrough technology and an incredible mission!
This opportunity is based out of Form Factory 1 - Form Energy's 550,000-square-foot, state-of-the-art manufacturing facility located in Weirton, WV, a commutable distance from Pittsburgh. Purpose-built for high-volume, advanced battery production, Form Factory 1 is a hub of fast-moving, collaborative work driving a new era of large-scale American energy manufacturing in the heart of the Rust Belt.
Relocation assistance is available.
What you'll do:- Conduct in-depth analysis of process data to identify patterns, correlations, and trends that impact production line performance.
- Use statistical methods to provide insights that drive improvements in Key Performance Indicators (KPIs) such as output, yield, and quality.
- Develop dashboards, reports, and visualizations that communicate complex data insights in a clear and actionable manner to stakeholders at all levels.
- Utilize data from MES, SCADA and cloud databases to generate reports and provide insights for decision making.
- Collaborate with cross-functional teams to continuously refine and optimize manufacturing processes.
- Utilize data-driven approaches to recommend process changes, equipment upgrades, or operational adjustments that enhance efficiency, reduce downtime, and improve overall production outcomes.
- Work lineside to validate MES/ERP systems, ensuring data integrity from the process to storage in databases, and documenting the full data cycle from collection to utilization.
What you'll bring:- Bachelor's or Master's degree in Engineering, Data Science, Computer Science, or a related field.
- 2+ years of experience in a fast-paced manufacturing or production development environment.
- Proficiency in SQL, Python, R, or other data analysis tools.
- Experience in data analysis, statistical analysis, and process optimization.
- Hands-on experience with production line data collection and analysis.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
- Experience working with SCADA, MES, and/or Industrial IoT systems is highly desirable but not required.
#LI-Onsite
#LI-LN1
Humanity is a cornerstone of Form Energy's culture, and we make sure our compensation and benefits reflect that. Form Energy offers competitive salaries, stock options, and a holistic benefits package to ensure all employees have what they need to thrive while working here.
When it comes to you and your family's health, we cover 100% of medical, dental, and vision premiums for full-time employees - and 80% of healthcare premiums for dependents. This starts from day one. We also offer at least 12 weeks of paid leave for new parents (up to 20 weeks for birthing parents), and generous vacation policies to give employees time to recharge when needed.
To build America's energy future, we need everyone at the table. We are proud to be an equal opportunity employer, and encourage candidates from all backgrounds to apply to our open jobs.
If you may require reasonable accommodations to participate in our interview process, please contact Requests for accommodations will be treated with discretion.
Form Energy is committed to maintaining the privacy of our applicants. Please be aware that we will
never solicit sensitive personal information such as Social Security numbers or bank account details during the recruiting or hiring process.
Never miss an opportunity! Create an alert based on the job you applied for.