# Lab Software Automation Engineer (m/f/d) at Q Ant Gmbh

- Company: Q Ant Gmbh (qant.com)
- Location: Stuttgart
- Places: Stuttgart, Germany
- Posted: 2026-07-22
- Apply: https://q-ant-gmbh.jobs.personio.de/job/2723640
- Page: https://ye.saranatour.dev/jobs/lab-software-automation-engineer-m-f-d-q-ant-gmbh-kn73pe7w5eqrz1pfv11skkk8pn8he7xc

## The posting

Lab Software Automation Engineer (m/f/d)
Q Ant Gmbh · Stuttgart

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.

- **Education:** B.Sc. or M.Sc. in Computer Science, Electrical Engineering, Physics
- **Software Core**: Solid foundation in software engineering principles and hands-on proficiency in Python.
- **Lab & Automation Focus:** Strong interest or experience in lab automation, IT automation, or signal processing.
- **Data & Tooling:**Familiarity with modern software workflows (e.g., GitHub Flow) and interest/experience with databases and data visualization tools.
- **Mindset:**Highly analytical, solution-oriented, with strong ownership and self-leadership skills to drive processes forward independently.
- **Experience Level:** Open to both promising entry-level candidates with strong relevant foundations and experienced specialists/experts. Prior lab experience and exposure to lab automation frameworks (e.g., LabVIEW or similar tools) is a plus!

- **Work on the leading edge:** Photonic AI acceleration technologies that will define the next decade of computing - already validated in production HPC environments.
- **Make impact at scale:** Help solve one of computing's biggest challenges—making growing demand in compute and sustainability go hand in hand.
- **Own your work from day one:** Broad autonomy and decision authority with direct impact on product success, production efficiency, and overall NPU quality.
- **Fast-track your growth:** Work on challenges with few industry precedents—every problem you solve becomes new institutional knowledge and potentially industry-defining IP