Guidance, Navigation & Control Engineer (m/f/d)

Salary: 44.000 - 81.000 € per year

Requirements:

Degree in robotics, aerospace, electrical engineering, mechanical engineering, applied mathematics, computer vision, or a comparable technical field.

Several years of hands-on experience in the field; relevant experience from student clubs, internships, or working-student positions is also considered.

Strong fundamentals in guidance, control, vehicle kinematics and dynamics, state estimation, optimization, and dynamical systems, with deep expertise in at least one of these areas.

Strong implementation skills in C++ or Rust and experience with ROS 2.

Good understanding of coordinate frames, quaternions, NED/ENU conventions, timing, and filtering.

Experience with interception or predictive guidance, PID or model-based control, trajectory optimization, or model-predictive approaches.

Experience with PX4, ArduPilot, MAVLink, or similar flight-control ecosystems.

Experience with system identification, flight-dynamics modeling, target tracking, or GNSS-denied navigation.

Experience with simulation, SITL/HITL, flight-log analysis, structured flight testing, or multi-vehicle autonomy.

We value candidates who are structured, fast-moving, collaborative, autonomous, and focused on durable solutions and root-cause analysis.

Include a detailed description of your hands-on projects with your application, such as photos, GitHub links, videos, or drawings.

Responsibilities:

Develop and deploy guidance, navigation, target-tracking, or control functions for our interceptor platform, taking ownership of a focus area and collaborating across the GNC stack.

Develop guidance algorithms that turn mission objectives and estimated vehicle and target states or predictions into feasible control commands, including predictive approaches that account for target motion and maneuvers.

Develop and integrate state-estimation, sensor-fusion, and target-tracking approaches that provide reliable states and short-horizon predictions, including uncertainty modeling.

Develop and tune flight-control algorithms that translate guidance commands into stable, responsive, and feasible aircraft behavior across the operating envelope.

Integrate algorithms with perception, flight-control, simulation, and operator systems through ROS 2, MAVLink, and related interfaces.

Validate performance through simulation, recorded-data replay, SITL/HITL, and flight testing.

Analyze field logs, reproduce failures, isolate root causes, and improve system performance.

Technologies:

AI

Computer Vision

GitHub

Hardware

ROS

Robotics

Rust

Security

Sensor Fusion

More:

Quantum Systems is a leading European deep-tech company for unmanned systems across air, land, and maritime domains. We develop and scale integrated hardware, software, and AI-powered solutions for mission-critical operations, combining autonomous platforms with intelligent software and AI. We specialize in developing, designing, and producing small unmanned aerial systems (sUAS), including electric vertical take-off and landing (eVTOL) platforms built for range, versatility, and a seamless operator experience. Our software capabilities include edge computing and real-time AI-powered data processing, serving clients in the defense, security, and public sectors. In this role, you will help deliver reliable autonomous capabilities for demanding operational environments. We offer the opportunity to contribute to next-generation defense innovation in a fast-paced, agile setting, collaborate with an ambitious team of industry pioneers, and pursue individual and professional growth in a globally recognized organization. We encourage applications from women and other under-represented groups, including from candidates who may not meet every listed qualification.

last updated 42 week of 2026