Senior Software Quality Engineer (F/M/D)

The Opportunity
We’re looking for a Senior QA Engineer to build and own the testing backbone that enables safe, high\-velocity development of AI systems operating in the physical world.

You will design and run the systems that ensure our AI and robotics stack is reliable, safe, and production\-ready. In this role, you act as the control layer between rapid AI development and real\-world deployment, ensuring systems remain stable and trustworthy in unpredictable environments.

Your Responsibilities* Own and continuously improve the CI/CD pipeline, enabling automated and confident deployments of software and models

• Monitor test outcomes and evaluation reports to drive system quality and stability


• Design and implement hardware\-in\-the\-loop testing in collaboration with engineering teams


• Define and scale human\-in\-the\-loop QA processes with operations for model validation


• Build simulation\-based regression tests with ML and simulation teams using physics\-based environments


• Write and maintain comprehensive test strategies and plans across software, models, and field deployments


• Take ownership of the overall testing infrastructure end\-to\-end

• Linux


• Testing frameworks


• CI/CD pipelines


• Containerization


• Git


• AI and robotics systems (general stack awareness)


• ROS and simulators (nice to have)

• Requirements

• MSc or PhD in a relevant technical field


• 5\+ years of experience in QA, Test Engineering, or Systems Integration for complex hardware\-software systems (ideally robotics or similar domains)


• Proven track record in industries like robotics, autonomous systems, aerospace, automotive, medical devices, or advanced industrial automation


• Strong experience with non\-deterministic / probabilistic systems and real\-world validation challenges


• Expertise in building and scaling automated testing infrastructure and CI/CD pipelines


• Advanced technical stack: Python, Linux, testing frameworks, containerization, and version control (Git)


• Experience mentoring engineers or contributing to technical leadership and team growth

• Solid understanding of AI and robotics systems


• Experience with ROS, simulators, or C\+\+


• Exposure to simulation\-based testing or hardware\-in\-the\-loop systems

Recruiting Process
Your recruiting partner for this role is Madhulika (she/her). You can expect a screening interview, two technical interviews, and an onsite visit to our office in Munich to meet the team.

Benefits* Competitive compensation package

• Various employee subsidies and perks, including public transportation and wellness support


• Work with a world\-class team in a flat hierarchy, with direct collaboration alongside the founders and engineering team


• Opportunity to make a real impact by working on cutting\-edge robotics and AI systems


• Fast growth potential in a rapidly evolving company and industry


• International office environment with English as the official working language

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