Fluidstack
Chief Cell Technologist, PV Systems
New York, NY. Posted 2 months ago
The role
The Chief Cell Technologist will own the selection of cell architecture and the technology roadmap. This person will build loss-analysis frameworks and direct technical agendas for process, device physics, and characterization teams.
What you will do
- Own the selection of cell architecture and the technology roadmap
- Build the loss-analysis framework and efficiency entitlement model
- Direct the technical agenda of the process, device physics, and characterization teams
- Scope and manage pilot line partnerships
- Own the technology transfer strategy from pilot to production
- Set cell procurement specs and drive supplier co-engineering
Required qualifications
- 15+ years in silicon PV cell technology
- At least one cell architecture (TOPCon, HJT, or back-contact) taken from concept to production efficiency targets
- Built and defended a full loss budget across recombination, optical, and resistive losses
- Led process transfers from pilot to production
- Published or patented depth in passivation, contacts, or device design
- Directed multi-disciplinary cell R&D teams spanning process, device physics, and characterization
- Comfortable with regular travel of 25% or more
- Work in non-climate-controlled environments, including active construction areas, data halls, electrical and mechanical rooms, and outdoor spaces
- Lift, carry, push and pull up to 40 pounds on your own
- Sit, stand, walk, kneel, bend and crouch for long periods
- Wear required personal protective equipment (PPE)
- Climb stairs and ladders, and move around equipment, cable trays and uneven surfaces
Nice to have
- SunPower/Maxeon, Fraunhofer ISE, ISC Konstanz, or UNSW lineage
- FEOC-clean supply chain exposure
- back-contact architecture depth
- pilot line buildout experience
About the company
Fluidstack delivers compute infrastructure for AI by acquiring power, designing and building data centers, and operating them. They are focused on delivering gigawatt-scale compute through hardware and software teams.