Senior Test Engineer

Are you looking for a dynamic and rewarding career? Navflex is a world leader in AI-enabled robotics. We are currently seeking passionate and talented individuals to fill a variety of roles. Explore our open positions below and discover how you can contribute to our success.

Full time

On-site

About Navflex

At Navflex, we're pioneering the future of logistics automation through cutting-edge AI and robotics. Our autonomous mobile robots (AMRs) are transforming the way goods are loaded and unloaded, enabling plug-and-play solutions that streamline operations and enhance efficiency across the global supply chain for some of the world’s most demanding warehouse Environments. Our international, cross‑disciplinary team in the EU and USA pairs robust mechatronics with cutting‑edge navigation and perception to deliver safe, reliable autonomy in real‑world warehouses and yards.

Join us in shaping the future of intelligent logistics.

What makes us different

We bring hardware and AI into production, not just prototypes

We work directly with real warehouse operations and customer environments

We build systems that must be safe, reliable, and economically viable

What you can expect at the Munich Team

You will join a highly skilled, hands-on engineering team working at the intersection of robotics, product development, and real-world deployment, with direct impact on systems used by global customers.

• The opportunity to work on robotics systems that are already used in real-world environments
• A role where you can actively shape systems and see the impact of your work
• A collaborative, international team with diverse backgrounds and perspectives
• Plenty of room for personal and professional growth as we continue to scale
• Challenging work alongside experienced engineers who are passionate about what they do
• A culture that values ownership, learning, and continuous improvement
• Competitive compensation

You will own system-level validation of Navflex’s autonomous forklift AMR—by continuously testing new software on real vehicles, stress-testing the system against the operational domain, and building automated test infrastructure that closes the gap between lab results and field performance.

This is not a “ticket-only QA” role. You will reproduce issues, analyze logs and data, and drive investigations far enough to pinpoint the most likely subsystem (perception, localization, planning, controls, HW interface, fleet services) and the fastest path to root cause and fix.

• Regressions are caught early and software is released with evidence-based readiness.
• Test coverage expands across the operational design domain (ODD), including edge cases and failure modes.
• Field issues become reproducible in lab/replay/HIL with clear fault isolation and actionable engineering feedback.
• A scalable automation framework exists (SIL/HIL + log replay + on-robot tests) with dashboards and automated reporting.

• Own scenario-based validation across the operational domain

  Define and maintain an Operational Design Domain (ODD) and scenario library that reflects real warehouse and trailer-loading workflows (normal operation, edge cases, abuse cases).

  Translate requirements and known risks into testable acceptance criteria, pass/fail metrics, and release gates.

  Design and execute functional, regression, performance, reliability, and safety validation plans at the system level.

  Plan long-duration stability/endurance campaigns and track reliability trends over time.

• Continuously test software on real vehicles (lab + field)

  Own day-to-day test execution on a vehicle fleet: smoke tests, nightly/weekly regressions, and targeted experiments for new features and bug fixes.

  Run structured test sessions that intentionally challenge autonomy behavior in a safe, controlled way (tight spaces, occlusions, pallet variability, trailer geometry, degraded sensors, etc.).

  Support pilots and customer transitions; ensure evidence-based sign-off for rollout and ramp.

• Debug, reproduce, and isolate issues using logs and data

  Reproduce failures using on-robot tests, log replay, simulation, and HIL as…