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    Stark

    Guidance Engineer (All genders)

    Stark

    Berlin4 months ago
    Engineering
    Electrical Engineering
    Mid-Level

    Summary

    STARK is seeking a Guidance Engineer to develop GNSS-denied navigation, guidance, and terminal autonomy for unmanned aerial systems. This role requires strong C++, ROS 2, and navigation/control algorithm development skills to build reliable autonomous systems for defense applications.

    Location
    Berlin
    Type
    full-time
    Level
    Mid-Level

    About Us

    STARK is a new kind of defence technology company revolutionizing the way autonomous systems are deployed across multiple domains. We design, develop and manufacture high performance unmanned systems that are software-defined, mass-scalable, and cost effective. This provides our operators with a decisive edge in highly contested environments.


    We’re focused on delivering deployable, high-performance systems - not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe - today.

    Your mission

    Reporting directly to the Head of the Control Team, the Guidance Engineer will drive the development of GNSS-denied navigation, guidance, and terminal autonomy for unmanned aerial systems. This role is central to enabling reliable autonomous operations in contested and degraded environments, from perception-driven navigation to closed-loop terminal guidance.

    Responsibilities

    • Design, develop, and validate navigation, guidance, and control (GNC) algorithms for autonomous drones, with a strong focus on GNSS-denied and degraded-signal environments.

    • Develop and implement advanced control, state estimation, and sensor-fusion algorithms, including visual-inertial, inertial-only, or multi-sensor approaches.

    • Implement autonomy and control software primarily in C++, leveraging the ROS 2 framework and applying test-driven development (TDD) and modern software engineering best practices.

    • Architect, integrate, and maintain a cohesive ROS 2–based autonomy stack, combining multiple perception, navigation, and control packages into a reliable end-to-end autonomous system.

    • Interface the autonomy stack with flight control systems via MAVLink, enabling robust command, telemetry, and state feedback between onboard autonomy and the autopilot.

    • Deploy, optimize, and validate autonomy software on the NVIDIA Jetson platform, accounting for real-time constraints, hardware acceleration, and power limitations.

    • Perform extensive simulation, bench testing, and flight testing, including debugging complex interactions between perception, navigation, and control layers.

    • Produce and maintain high-quality technical documentation covering algorithms, software architecture, testing procedures, and system behavior.

    • Collaborate closely with control, autopilot, AI, hardware, and systems engineering teams to ensure seamless system integration and mission readiness.

    Qualifications

    • Bachelor’s or Master’s degree in Robotics, Computer Science, Software Engineering, Aerospace Engineering, or a closely related discipline.

    • Professional experience in autonomous systems, navigation, guidance, control, or robotics software development.

    • Advanced proficiency in C/C++, with strong software design, debugging, and performance-optimization skills.

    • Proven experience developing autonomy software using ROS 2, including node design, lifecycle management, and inter-process communication.

    • Solid background in embedded systems, real-time constraints, and deployment on resource-constrained hardware.

    • Hands-on experience integrating autonomy stacks with MAVLink-based autopilots.

    • Strong understanding of navigation and control theory, including state estimation, sensor fusion, and closed-loop guidance.

    • Experience deploying and optimizing software on NVIDIA Jetson platforms.

    • Excellent problem-solving skills, autonomy, and the ability to operate effectively in a high-ownership, fast-moving startup environment.

    • Strong communication and collaboration skills, with the ability to work across multidisciplinary teams.

    Nice to Have

    • Experience with PX4 or ArduPilot autopilot ecosystems.

    • Background in GNSS-denied navigation, visual navigation, terrain-relative navigation, or terminal guidance systems.

    • Familiarity with computer vision or perception-driven autonomy.

    • Experience in defense, aerospace, or safety-critical autonomous systems.

    • Prior involvement in flight testing and real-world deployment of autonomous drones.


    If you´re intersted in building the future of European Defence with us, and you see yourself reflected in the description above, please send us your CV in English. We´re looking forward to meeting you!

    Guidance Engineer (All genders)

    Stark · Berlin

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