
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”
Define the digital processor architecture for the next generation of photonic AI systems . As Principal ASIC Architect, you will design a high‑performance , low‑latency processor that controls our photonic integrated circuits for AI training and inference . You will own CPU / SoC microarchitecture , high‑speed interfaces, and l ow‑power optimization , and work closely with a third‑party ASIC partner to achieve first‑silicon success.
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 Principal ASIC Architect – Photonic AI Processors , you will define the architecture of our digital processor that controls photonic integrated circuits for AI training and inference. Working with a third-party ASIC implementation partner, you'll provide technical leadership to internal photonics, firmware, and system integration teams, translating cutting-edge photonic requirements into a processor architecture optimized for high-bandwidth, low-latency control of our photonic computing platform.
What makes this role unique
Your Impact & Responsibilities
Within your first 18–24 months, you will:
Key responsibilities
Your Profile – our requirements
Education & Experience
Deep technical expertise in
Leadership & Coordination Skills
Preferred Qualifications
What We Offer
Why Q.ANT
Who we are and what we do:
Q.ANT is a photonic deep-tech scale-up developing photonic processing solutions that compute with light and deliver a scalable alternative to transistor-based systems. Our Light Empowered Native Arithmetics (LENA) architecture delivers analog co-processing power optimized for complex computation and enables energy-efficient performance for next-generation AI and HPC applications.
We operate our own Thin-Film Lithium Niobate (TFLN) chip pilot line in collaboration with the Institute for Microelectronics Stuttgart, IMS CHIPS, and are currently shipping our Native Processing Servers to selected partners.
Why now matters:
AI data centers are projected to consume 17% of US electricity by 2030. A single GPU now draws as much power as a kitchen oven. Traditional CMOS processors require 1,200 transistors for a simple 8-bit multiplication - Q.ANT's photonic chip does it with one optical element.
In July 2025, the Leibniz Supercomputing Centre became the world's first HPC facility to deploy photonic computing in production.This isn't research anymore - it's real, it's shipping, and it's redefining what's possible.
How to Apply
We’re looking for someone energized by the challenge of integrating cutting-edge photonics with high-speed digital systems—and who wants to see their work deployed in production systems already changing how the world computes.
Ready to architect the future of AI computing?
We look forward to receiving your application!
Q.ANT is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.