Navigation / GNC Engineer - Reliant (m/f/d)

Responsibilities

• Design, develop, and validate advanced GNSS/INS navigation algorithms, including state estimation, sensor fusion, and fault detection to enable reliable autonomous flight in contested and GNSS-denied environments.
• Analyze flight test and operational data to identify performance bottlenecks, conduct root‑cause analysis, and implement robust algorithmic improvements for mission‑critical navigation systems.
• Develop and continuously improve navigation capabilities by enhancing sensor fusion, localization, and redundancy strategies for complex operational scenarios.
• Collaborate closely with Flight Control, Embedded Software, AI, Systems Engineering, and Test teams to integrate navigation solutions across the Reliant UAS platform.
• Participate throughout the complete development lifecycle—from system architecture and algorithm design to simulation, hardware integration, flight testing, and operational deployment.
• Characterize, calibrate, and validate navigation sensors to maximize positioning accuracy, robustness, and system resilience.
• Contribute to the architecture and evolution of the navigation software stack by driving technical decisions, participating in design reviews, and maintaining high software quality standards.
• Support verification and validation activities, including simulation campaigns, Hardware‑in‑the‑Loop (HIL) testing, flight campaigns, and post‑flight performance analysis.
• Mentor team members through technical discussions, code reviews, and knowledge sharing while promoting engineering best practices.

Qualifications

• M. Sc. or higher in Robotics, Aerospace Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, Mechatronics, or a related field.
• Several years of professional experience developing navigation, localization, or sensor fusion solutions for autonomous systems, robotics, or UAVs.
• Strong expertise in GNSS/INS integration, state estimation, and nonlinear filtering techniques (e. g., Extended Kalman Filters, Unscented Kalman Filters, Factor Graph Optimization, or SLAM).
• Deep understanding of inertial navigation, sensor fusion, and autonomous navigation in degraded or GNSS‑denied environments.
• Solid knowledge of fixed‑wing and VTOL flight dynamics, flight mechanics, and autonomous flight systems.
• Strong programming skills in C++ and Python; experience with MATLAB/Simulink is required. Experience with Rust is a plus.
• Experience analysing flight data and validating navigation performance through simulation and real‑world flight testing.
• Familiarity with embedded Linux environments, Git, and modern software engineering practices.
• Experience with simulation, Hardware‑in‑the‑Loop (HIL), Software‑in‑the‑Loop (SIL), or flight testing is highly desirable.
• Strong analytical and problem‑solving skills with the ability to independently drive technical decisions in complex multidisciplinary projects.
• Excellent written and spoken English.

Benefits

• Company pension scheme.
• Flexible working hours with trust‑based working hours and work‑life balance.
• Mobile Work: option to work remotely one flexible day per week.
• Stay active: access to EGYM Wellpass fitness and sports facilities, with membership subsidised.
• Bike‑Leasing programme.
• Corporate Benefits: attractive offers and discounts from suppliers and brands such as Adidas, Apple, Expedia.
• Employee events.
• Lunch‑Card: daily lunch budget sponsored.
• Company Shuttle: convenient shuttle service from Laim in Munich to our location, with return trips at the end of the workday.
• Equal Employment Opportunity

We are an open‑minded company that values diversity and actively promotes it.

Regardless of gender, age, ethnic origin, religion, sexual orientation or disability, we firmly believe that the diversity of our employees is an essential part of our success.

At our company, every voice is heard and every perspective is valued.

We believe that our differences enrich us and help us to find creative solutions and generate innovative ideas.

We pride ourselves on creating an inclusive work environment where all employees can reach their full potential.

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