Jobs / United States / Form Energy INC
Senior Process Engineer, Data Optimization
Form Energy INC · 🇺🇸 Weirton, WV
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 17 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 1 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Form Energy INC paid sponsored hires in similar roles5 certified filings for “Senior Manufacturing Engineer” (Industrial Engineers) in WV: $115k–$155k, median $135k. Most were filed at wage level IV (80%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Form Energy INC
The US Department of Labor certified 17 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 1 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Form Energy INC →
About the role
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 DESCRIPTION We are seeking a Senior Process Engineer with a strong background in Data Optimization to join the NPI Operations team here at Form Energy. In this position, you will be responsible for leading and supporting the initial operational production assembly processes by providing data analytics tools to optimize line performance. 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! 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. - Design and build customized data analytics tools that enable process and equipment engineers to better understand and troubleshoot production issues. - 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 to improve the accuracy, consistency, and accessibility of process data by developing automated systems for real-time data collection and reporting to ensure that relevant stakeholders have the information they need to make informed decisions quickly. - Develop dashboards, reports, and visualizations that communicate complex data insights in a clear and actionable manner to stakeholders at all levels. WHAT YOU'LL BRING: - Bachelor’s degree in Engineering, Data Science, Computer Science, or a related field and 5+ years experience in a production environment, or similar academic experience - Excellence in SQL, Python, R, or other data analysis tools. - Ability to