GNC Engineer H/F

Alta Ares; Paris (TX); On-site; USD 101,000 - 168,000; Full time

Job summary

Alta Ares is seeking a GNC Engineer to design and implement guidance, navigation, and control for autonomous aerial systems. You will help shape the architecture from design studies through flight testing and acceptance.

You will work across the entire development lifecycle, own algorithms, and collaborate with operators to validate solutions in real operational conditions. Paris-based, with opportunities for field demonstrations.

Qualifications

• Minimum 3 years in Guidance, Navigation & Control or autonomous systems.
• Proficient in MATLAB & Simulink, Python, and C/C++.
• Strong systems engineering and aerospace V&V experience.

Responsibilities

• Develop GNC algorithms for autonomous aerial systems.
• Contribute to system architecture and flight modelling.
• Lead live flight tests and operational validation.
• Analyze flight data and improve performance.
• Collaborate with software, AI, systems engineers, pilots and operators.

Skills

MATLAB & Simulink

Python

C/C++

Systems engineering

Tools

ROS/ROS2

Job description

About the company the company is an air defense Neoprime. We build AI-guided interceptors to counter drones and cruise missiles, along with the software platform that powers them.

Our customers are NATO-aligned militaries and defense institutions, and our systems are regularly deployed during live exercises and operational demonstrations across Europe, the Middle East, and Asia.

Founded in 2024, we have grown to 90 people, raised over $60M, and increased revenue 40× this year. We are now entering a new phase of international expansion, industrial scaling, fundraising, and product development.

The GNC team is growing across Paris and Kyiv. As one of our early GNC engineers, you'll help shape the architecture of our autonomous systems from the earliest design studies through flight testing and final acceptance. We work in short iterations, with a strong culture of experimentation and field validation. Our engineers regularly work alongside operators and end users, ensuring that every algorithm is designed for real operational conditions: not just simulation.

Role & Mission

As a GNC Engineer, you will develop the guidance, navigation, and control capabilities that enable our autonomous platforms to operate reliably in challenging environments. You'll contribute across the entire development lifecycle—from system architecture and flight modelling to live flight testing and operational validation.

We are looking for engineers who enjoy taking ownership of their work, iterating quickly, and seeing their algorithms perform outside the lab.

Guidance, Navigation & Control

• Design, develop, and improve guidance, navigation, and control algorithms for autonomous aerial systems.

• Develop and maintain flight dynamics and vehicle models.

• Contribute to system architecture, control strategies, and performance trade-offs from the earliest design phases.

• Integrate and tune GNC software on target platforms.

• Participate in flight-test campaigns and operational demonstrations.

• Analyze flight data, investigate anomalies, and continuously improve system performance.

• Work closely with software, AI, systems engineers, test pilots, and operators to validate solutions in real operational conditions.

Requirements

Minimum 3 years of professional experience in Guidance, Navigation & Control, flight control, robotics, or autonomous systems.

• Solid experience in algorithm development with two or more:

• MATLAB & Simulink

• Python

• C/C++

• Great systems engineering skills. Prior experience with aerospace V&V processes.

• Motivation to participate in field testing and work directly on deployed systems.

• Strong analytical skills, engineering rigor, and ability to work autonomously in a fast-paced environment.

Nice to Have

• Embedded software development experience.

• Experience with open source flight control software stacks.

• Programming skills in C++ and Python.

• Experience with UAVs, robotics, or autonomous systems.

• Familiarity with ROS/ROS2 or real-time embedded systems.

• Experience with state estimation, sensor fusion, or navigation algorithms.