Software engineer - munich

About the job About the Company Our client is a European defence-focused AI technology company with a mission to support and protect democratic societies. They develop advanced, ethical AI solutions that enable sovereign decision-making and responsible use of powerful technologies. The organisation brings together world-class engineers, AI specialists, and programme leaders working on complex, real-world challenges. Their culture is open, transparent, and intellectually rigorous, encouraging healthy debate around technology, ethics, and impact. They are seeking mission-driven engineers who want to apply cutting-edge skills to problems of genuine global importance. The Role This role sits within a team that designs, builds, and deploys AI-enabled software systems and infrastructure for use in highly constrained, real-time, and safety-critical environments. The software operates under unusual technical constraints, across rapidly changing conditions, and supports a wide range of demanding use cases. Solutions must be robust, reliable, secure, and intuitive, as they are ultimately used by people operating in high-risk, high-pressure situations. You will work across a broad technical landscape, including but not limited to: Distributed systems (e.g. intermittent connectivity, adversarial environments) Embedded systems (e.g. constrained compute, hardware integration) Robotics and control systems Networking (e.g. low-bandwidth, long-range communications) Deployment infrastructure (e.g. air-gapped systems, heterogeneous fleets Security (e.g. low-trust networks, sensitive data handling) Machine learning infrastructure (model development, storage, deployment) In many areas, the team operates close to the state of the art, often applying research-grade ideas in real-world conditions where reliability and safety are paramount. Requirements Day-to-Day Responsibilities Review code contributions, proposals, and RFCs, prioritising unblocking others and improving overall system quality Design and implement new features, algorithms, infrastructure, and end-to-end capabilities Identify opportunities beyond your immediate remit and proactively contribute improvements Mentor colleagues and contribute to technical interviews and hiring processes Share technical knowledge through talks, workshops, and internal learning sessions Maintain and improve existing systems, working closely with internal and external stakeholders Reduce technical debt and improve operational reliability and performance Develop and enhance testing frameworks and benchmarking systems to ensure robustness Present work in regular internal demos to encourage feedback, alignment, and impact visibility The technology stack is primarily Rust and Python, with Python used predominantly in ML-heavy components. Requirements You should apply if you: Write clear, maintainable, and performant code