
Q.ANT builds photonic processors and quantum sensors that use light to improve energy efficiency and performance for AI and high-performance computing. The company develops native computing hardware…

Q.ANT builds photonic processors and quantum sensors that use light to improve energy efficiency and performance for AI and high-performance computing. The company develops native computing hardware…
What they do: Build photonic processors, native processing servers and quantum sensors using thin‑film lithium niobate for energy‑efficient AI and HPC
Founded / HQ: 2018; Stuttgart, Germany
Founder / CEO: Dr. Michael Förtsch
Recent funding: €62M Series A announced July 17, 2025 (subsequent closes increased total to ~US$80M)
Target customers: Enterprise AI, HPC, aerospace, medtech, industrial metrology
Energy and performance constraints in AI and high‑performance computing; precision sensing for aerospace, medical and industrial metrology.
2018
DeepTech
€62,000,000
Initial Series A announced July 17, 2025; later closes increased total to about US$80M
“Cherry Ventures; UVC Partners; imec.xpand; participation from L‑Bank, Verve Ventures, Grazia Equity, EXF Alpha / Venionaire Capital, LEA Partners, Onsight Ventures, TRUMPF”
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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.
Turning prototypes into production-ready systems requires more than lab innovation. It demands hands-on assembly, robust system integration, and rigorous testing to guarantee performance, reliability, and manufacturability.
As our Senior Production Engineer (m/f/d) , your mission is to assemble, integrate, and validate complex electro-optical and electronic-mechanical systems. You will establish stable test and integration processes, optimize workflows, and ensure small-series production ramp-up runs smoothly, enabling Q.ANT’s next-generation servers to be delivered on time and at scale.
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