
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 high-performance computing (HPC) through their photonic processors, which offer increased efficiency for matrix-vector multiplications crucial in deep neural networks. Their Native Sensing solutions, including magnetometry and atomic gyroscopes, utilize light for high-quality data acquisition and signal processing, enabling new human-machine interfaces and advanced navigation. The company's proprietary Para.Digm framework underpins these developments, aiming to overcome the limitations of existing technologies and create new application areas across various industries. Q.ANT is recognized by Gartner as a Sample Vendor in multiple Hype Cycle reports for Deep Technologies and Compute.

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 high-performance computing (HPC) through their photonic processors, which offer increased efficiency for matrix-vector multiplications crucial in deep neural networks. Their Native Sensing solutions, including magnetometry and atomic gyroscopes, utilize light for high-quality data acquisition and signal processing, enabling new human-machine interfaces and advanced navigation. The company's proprietary Para.Digm framework underpins these developments, aiming to overcome the limitations of existing technologies and create new application areas across various industries. Q.ANT is recognized by Gartner as a Sample Vendor in multiple Hype Cycle reports for Deep Technologies and Compute.
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
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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
Perform optical and electrical characterizations of thin-film lithium niobate (TFLN) photonic integrated circuits (PICs). This is the role for an operator performing high-quality characterizations for TFLN development and products with ability to implement development steps for advanced lab setups, including probe stations and test instrumentation. The engineer must ensure a full availability and interruption-free evaluation of PIC and PIC-modules.
Key responsibilities:
YOUR PROFILE
Education: B.Sc. in optoelectronics, physics or a related field.
Experience: ≥1 years in photonic device characterization
Technical Knowledge:
Tools & Processes:
Languages: Fluent in English; proficiency in German or another European language is a plus.
WHY US?
ABOUT US
Who we are and what we do
Q.ANT is a photonic deep-tech scale-up developing photonic processing solutions that compute natively with light and deliver a scalable alternative to transistor-based systems. Its Light Empowered Native Arithmetics (LENA) architecture delivers analog co-processing power optimised for complex computation and enabling energy-efficient performance for next-generation AI and HPC applications. Q.ANT operates its own Thin-Film Lithium Niobate (TFLN) chip pilot line in collaboration with the Institute for Microelectronics Stuttgart, IMS CHIPS, and is currently shipping its Native Processing Servers to selected partners. Q.ANT was founded by Michael Förtsch in 2018 and is headquartered in Stuttgart, Germany.