Your mission Location: Stuttgart, Germany Type: Permanent employment, full-time Work mode: On-site, 1 remote day per week The future of AI computing builds on light. Q.ANT is building photonic processing systems that compute with light –
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.
Welcome to ZEISS - a company that combines innovation and responsibility! Our corporate divisions are diverse and make a decisive contribution to the strategic orientation and sustainable success of the ZEISS Group. Are you passionate about
Deadline Date: Monday 1 June 2026 Requirement: Senior Technician (Electronics Maintenance) Location: Lughezzano, IT Full Time On‑Site: Yes Time On‑Site: 100% Total Scope of the request (hours): 836 Required Start Date: 7 July 2026 End Contract
Senior Satellite Communications Technician Spektrum supports NATO, UN, EU, and national governments with specialist services in satellite communications, cybersecurity and command‑control systems. This role is part of the Assistance and Advisory Service (AAS) for the NATO
Step out of your comfort zone, excel and redefine the limits of what is possible. Thats just what our employees are doing every single day – in order to set the pace through our innovations and
Job DescriptionWelcome to ZEISS - a company that combines innovation and responsibility! Our corporate divisions are diverse and make a decisive contribution to the strategic orientation and sustainable success of the ZEISS Group.Are you passionate about
Facing the challenges of our time - Help us grow and be more impactful! CSEM is advancing the use of artificial intelligence to accelerate the design of complex physical systems. Several ongoing projects apply ML-driven optimization
Facing the challenges of our time - Help us grow and be more impactful! CSEM is advancing the use of artificial intelligence to accelerate the design of complex physical systems. Several ongoing projects apply ML-driven optimization