
Q.ANT is a photonic technology scale-up, originating from TRUMPF's R&D labs, specializing in Native Computing and Native Sensing. They leverage light-based technologies to advance AI and…

Q.ANT is a photonic technology scale-up, originating from TRUMPF's R&D labs, specializing in Native Computing and Native Sensing. They leverage light-based technologies to advance AI and…
Founded: 2018
Headquarters: Stuttgart, Germany
Core tech: Photonic processors for native computing and sensing (LENA architecture)
Latest round: Series A (€62M announced July 17, 2025)
Employee count: 89
Energy-efficient, high-performance compute for AI/HPC and high-quality sensing for navigation and interfaces.
2018
Data and Analytics
€62,000,000
Series A announced July 17, 2025; subsequent closing added Duquesne Family Office per company communications.
“Involved deep-tech and strategic investors including Cherry Ventures, UVC Partners, imec.xpand, TRUMPF and other European deep-tech investors”
Your Mission
The future of AI computing is light, not electrons. Q.ANT is building photonic processing systems that compute with light – delivering a scalable, energy-efficient alternative to transistor-based architectures for next-generation AI and HPC applications.
As a Material Engineer (m/f/d ), you will be the theoretical and practical expert for our core material stack. Your mission is to characterize, develop, and deeply understand our base material, lithium niobate, identifying complex issues and implementing scalable solutions. You will work at the cutting edge of thin-film and interface physics, ensuring that our material science translates directly into high-performance photonic integrated circuits (PICs).
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