Navigation Engineer

Stark

Thessaloniki permanent

Posted: February 23, 2026

Job Description

About Us:
STARK is a new kind of defence technology company revolutionising 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:
Lead the design and deployment of robust GNSS-denied navigation systems for autonomous unmanned platforms operating in contested and degraded environments. You will ensure our systems remain mission-capable even when traditional positioning signals are jammed or unavailable.

Responsibilities:
• Architect and implement navigation frameworks for GNSS-denied and degraded environments
• Develop system-level state estimation pipelines independent of specific sensors
• Implement real-time navigation algorithms in C++
• Integrate navigation systems into ROS2-based autonomy stacks
• Define coordinate frame handling (ECEF, NED, ENU, body frames)
• Handle time synchronization and latency across distributed systems
• Conduct system-level debugging, performance analysis, and validation
• Support simulation, SIL/HIL testing, and real-world flight/field tests
• Produce technical documentation and performance analysis reports

Qualifications:
Qualifications• Integrated Master’s (Dipl. Eng.) or higher in Electrical & Computer Engineering (ECE), Applied Mathematics & Physical Sciences (TEMFE), or Physics.
• Proven experience building GNSS-denied navigation systems
• Deep understanding of state estimation and navigation theory
• Strong background in coordinate frames and transformations
• Experience with inertial navigation error modeling and sensor bias estimation
• Expertise in time synchronization and latency handling within distributed systems
• Excellent C++ skills for real-time systems and hands-on experience with ROS2
• Strong debugging, analysis, and reporting skills

Nice to Have• Strong mathematics background (linear algebra, probability, calculus, estimation theory) and/or Physics double major (advantage)
• MATLAB / Python for prototyping, modeling, and analysis
• Experience with simulation and Monte Carlo analysis
• Aerospace, unmanned systems, robotics, or autonomous systems background

If you´re interested 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!

Recruiter for this position:
For further information, please reach out to [email protected].

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