The future of AI computing is light, not electrons.
As Lab Software Automation Engineer (m/f/d), you will bring strong software engineering expertise directly into our lab environment. You will bridge the gap between R&D bringup and operations, equipping our teams with the software tools, routines, and automation needed to efficiently perform complex measurements and hardware testing. By embedding a "data-first" and software-driven mindset into the lab, you will ensure high-quality deliverables and enable the seamless transition of our photonic NPUs from R&D to full production.
At Q.ANT, we are building photonic processing systems that compute with light—delivering a scalable, energy-efficient alternative to transistor-based architectures for next-generation AI and high-performance computing.

Your Impact & Responsibilities

• Drive Lab Automation: Define measurement strategies, develop robust measurement routines, and automate software tasks across bringup and operations to streamline production workflows.
• Bridge Bringup & Operations: Serve as the central technical connection between R&D systems engineering, bringup teams, and operations, ensuring high dependability and on-time NPU deliveries (OTIF).
• Enable Data Analytics: Lead data-gathering efforts and manage long-term database storage to provide actionable insights for R&D and key stakeholders.
• Optimize Software Protocols: Establish clear software protocols, best practices, and documentation for lab tasks, while consulting on and developing internal lab software tools.
• Solve Complex Lab Challenges: Work autonomously to investigate and resolve complex measurement or hardware bringup issues using structured software engineering principles.
• Scale Internal Capabilities: Over time, expand automation systems to connect with backend operational databases and explore cross-reusability of software tools within R&D.