Mat3ra operates a cloud-based modeling platform for materials scientists, built on Python + GPU/TPU + HPC tools (VASP, Quantum ESPRESSO, Gaussian) and deployed across AWS, Azure, and GCP. The company is actively hiring across engineering, sales, and design (10 roles in the last 30 days) while pursuing public-sector growth — a hiring composition and project mix that signals transition from research tool to enterprise platform. Pain points around data organization and scaling technical communities indicate they're solving for operational maturity as much as simulation capability.
Mat3ra provides a cloud-native materials R&D platform enabling computational design and discovery of advanced compounds. The platform serves materials scientists, chemists, and engineers in semiconductor, clean energy, aerospace, automotive, and defense sectors, as well as government research institutions including the Department of Defense, Department of Energy, and NIST. The company was founded in 2014 by former UC Berkeley scientists and operates as a 11–50 person organization headquartered in Walnut Creek, California. Current projects span web platform expansion, 2D/3D nanoscale design tools, enterprise sales infrastructure, and government funding strategy.
Mat3ra runs Python + CUDA/OpenMP on AWS, Azure, and GCP. Simulation engines include VASP, Quantum ESPRESSO, and Gaussian. Frontend uses Material-UI and Figma; backend spans Docker, Ansible, and MongoDB.
Key projects include a web-based materials R&D platform, 2D/3D nanoscale design tools, enterprise sales infrastructure, public-sector growth strategy, and case studies for Department of Defense and Department of Energy partnerships.
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