About the role
Fortera is transforming one of the world’s largest industries by reinventing how cement is made. Headquartered in Silicon Valley, Fortera has developed next-generation cement technology that delivers high performance while reducing CO₂ emissions by up to ~70%. By mineralizing CO₂ and turning it into a productive feedstock, Fortera converts emissions into a valuable building material, creating a more sustainable path for modern construction. With our commercial ReCarb® plant operating in Redding, California, and a growing global project pipeline, Fortera is moving from first-of-a-kind deployment to scaled commercialization. Our technology is already being used in real-world infrastructure applications, bringing next-generation cement into use today while expanding toward broader adoption. At Fortera, you’ll work alongside scientists, engineers, operators, and industry experts who are turning cutting-edge materials science into real-world impact. We’re looking for curious thinkers, builders, and problem-solvers who want to help tackle one of the biggest challenges facing our planet. This is more than a job. It’s an opportunity to help shape the future of sustainable construction. Build What’s Next. Visit www.forteraglobal.com to learn more. POSITION OVERVIEW : This position will lead laboratory efforts to pioneer new process chemistries, cementitious materials, and carbonate morphologies, with an emphasis on cementitious system development.
The role will include altering cementitious matrices to optimize transformation kinetics and property development, and developing new reaction schemes and pathways. The ideal candidate will bring strong laboratory presence, deep technical knowledge of material chemistry, and hands-on laboratory research experience. Experience with cement chemistry, hydration reactions, supplementary cementitious materials, and/or carbonate-based cementitious systems is preferred. This individual must be able to navigate the unknown challenges associated with developing new technologies, processes, and scale-up conditions. The ideal candidate must be comfortable working in ambiguous environments, making informed decisions, and providing recommendations as new data and learnings emerge.
