Flexible Work, Better Balance
The future of AI computing builds on light. Q.ANT is building photonic processing systems that compute with light - a scalable, energy-efficient alternative to transistor-based architectures for next-generation AI and HPC. Built on a thin-film lithium niobate (TFLN) platform operating in the GHz regime, Q.ANT’s photonic integrated circuits sit at the heart of this technology.
You will drive the photonic and electrical characterization of TFLN PICs in the GHz regime - defining lab setups, developing measurement routines, and turning fabricated devices into validated, production-ready hardware. Beyond characterization, you will contribute to the photodiode-PIC integration lifecycle and mentor junior engineers building Q.ANT’s lab capability.