9 часов назад
PV Product Engineering Lead (AI)
208 000 - 263 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
PV Product Engineering Lead (AI): Leading the development of a captive photovoltaic supply chain for gigawatt-scale AI infrastructure with an accent on silicon cell architecture and efficiency modeling. Focus on directing multi-disciplinary R&D teams, managing pilot-to-production technology transfers, and optimizing cell performance for large-scale deployment.
Location: On-site in New York, NY; Austin, TX; San Francisco, CA; or Seattle, WA
Salary: $208,000 – $263,000 per year
Company
is building civilization-scale compute infrastructure to power the next generation of AI, focusing on speed and scale through vertical integration of power and data center operations.
What you will do
- Own the selection and technology roadmap for silicon cell architecture (TOPCon, HJT, or back-contact).
- Build and maintain a rigorous loss-analysis and efficiency entitlement framework.
- Direct technical agendas for process, device physics, and characterization teams.
- Manage pilot line partnerships and oversee technology transfer from pilot to production.
- Set cell procurement specifications and drive supplier co-engineering.
Requirements
- 15+ years of experience in silicon PV cell technology.
- Proven track record of taking at least one cell architecture from concept to production.
- Expertise in building and defending full loss budgets (recombination, optical, resistive).
- Experience leading process transfers from pilot to production, including tool matching and yield management.
- Published or patented depth in passivation, contacts, or device design.
- Must be authorized to work in the United States.
Nice to have
- Lineage from SunPower/Maxeon, Fraunhofer ISE, ISC Konstanz, or UNSW.
- Experience with FEOC-clean supply chains or back-contact architecture.
- Direct experience with pilot line buildouts.
Culture & Benefits
- Equity for all full-time roles.
- Comprehensive benefits package.
- High-intensity, fast-paced environment focused on solving frontier AI infrastructure challenges.
- Culture of extreme ownership, first-principles thinking, and high autonomy.
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