Software Engineer (m/f/d) Robotics Research Tooling & Reliability

About the role:
The AI Research Division of Agile Robots is looking for a Software Engineer (m/f/d) Robotics Research Tooling and Reliability who would take responsibility for the usability and reliability of the toolchain that our teams depend on daily, from dataset viewers, training dashboards, benchmark interfaces until the end-to-end test infrastructure that keeps them stable. The job is to make the tooling ecosystem trustworthy under pressure.

Your Responsibilities:
• Tool Surfaces: Build and maintain UI, API, and CLI interfaces (dataset viewers, training dashboards, benchmark viewers) that researchers use for daily inspection and monitoring work.
• End-to-End Testing: Design and maintain E2E test suites that simulate real user workflows from data ingestion through training to inference, catching regressions before they reach production.
• Stress Testing: Run stress tests under realistic lab constraints (messy data, constrained compute, edge-case queries) to ensure tooling degrades gracefully rather than failing silently.
• Golden Path Maintenance: Maintain a reference test suite and nightly regression runs that define the canonical data-to-training-to-inference workflow and prevent drift.
• Demo Reliability: Own reliability checks and regression prevention for critical demos and evaluations, ensuring the toolchain survives the pressure of time-sensitive events.

Essential Skills:
• Backend Engineering: Experience building production-quality backend services that maintain reliability under real load, not scripts or single-use tools.
• Testing Discipline: Hands-on experience designing integration and E2E test suites, with a debugging instinct that works across the full stack.
• User Empathy: Track record of building internal tooling that technical users actually adopt, with evidence of learning from usage patterns.

Beneficial Skills:
• Frontend Development: Working experience with a modern frontend framework for building data-intensive interfaces (dataset browsers, real-time dashboards, or annotation tools).
• Documentation Habits: Practice of maintaining clear, current documentation as a first-class engineering output rather than an afterthought.

What we offer:
• Dynamic high-tech company combined with financial soundness and world class investors.
• Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment.
• Lots of development opportunities in the context of our continued growth.
• Challenging tasks and impactful projects alongside experts that enable professional and personal growth.
• Corporate Benefits Program that covers health, mobility and learning with 100 € net per month.
• Modern office facilites with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment.