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Navigation Engineer

Stark

Berlin permanent

Posted: February 13, 2026

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Job Description

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:
Lead the design and deployment of robust GNSS-denied navigation systems for autonomous unmanned platforms operating in contested and degraded environments.


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:
• 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
• Expertise in time synchronization and latency handling
• Excellent C++ skills (real-time systems)
• 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

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