Job Description
About
At Neurobus, we develop intelligent vision systems powered by neuromorphic technologies to enable ultra-energy-efficient embedded intelligence, allowing autonomous systems to perceive, navigate, and respond in real time across drones, defense, and space.
Job Description
About the role
Neurobus is developing cutting-edge vision solutions and systems, leveraging neuromorphic technologies to enhance the intelligence and efficiency of embedded devices and robots in the Defense and Space sectors. A key challenge is creating lightweight and reliable state estimation and control pipelines that exploit the unique properties of our vision and computing payloads to maximize application performances.
We are seeking a passionate and talented GNC Engineer to join our growing engineering team and play a key role in designing and developing innovative control systems. You'll be at the forefront of developing robust and efficient solutions for real-world robotic applications.
What you will do
As a GNC Engineer at Neurobus, you will:
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Design & Develop: Contribute to the design, development, and implementation of state estimation and control processing chains, aligning with product and technical requirements.
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Problem Solve: Identify and resolve complex robotic state estimation and control systems challenges.
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Innovate & Improve: Explore and implement strategies for improving state estimation and control pipelines' reliability, efficiency, and robustness.
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Research & Learn: Stay up-to-date with advancements in embodied artificial intelligence and neuromorphic control, contributing to Neurobus's position at the forefront of innovation.
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Collaborate: Work closely with computer vision, systems engineering, and product colleagues to clarify requirements, advise on technical constraints, and contribute to system architecture decisions.
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Validate & Optimize: Participate in validating and optimizing developed systems through testing and analysis in real-world environments.
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Share Knowledge: Contribute to knowledge sharing and mentorship within the engineering team.
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Shape the Future: Contribute to the engineering team's growth through participation in recruitment and mentorship of junior colleagues.
Preferred Experience
Main requirements:
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Master's degree or higher in Robotics, GNC, Computer Science, or a related field.
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2+ years of relevant experience in robotics or related fields.
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Solid understanding of state estimation and control algorithms, including Kalman filtering, nonlinear optimization and sensor fusion.
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Excellent C++ development skills, with Python used for simulation, experimentation and tooling.
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Experience analysing flight logs, debugging complex robotic systems and improving system reliability through experimentation.
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Familiarity with the state-of-the-art in robotics and GNC.
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Excellent communication skills and the ability to work effectively across multidisciplinary teams.
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Fluency in English.
We're especially interested in candidates with experience in one or more of the following:
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Prior experience in the robotics industry
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Autonomous UAVs, VTOL aircraft or other aerial robotic systems
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PX4, ArduPilot or custom flight-control software
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Multi-sensor fusion using cameras, IMUs, GNSS, radar or event cameras
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Reinforcement Learning based control strategies
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Real-time operating systems and safety-critical software
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Hardware-in-the-loop (HIL), software-in-the-loop (SIL) and digital twin simulation
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ROS 2, Gazebo, AirSim or Isaac Sim
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Mission planning and autonomous behaviours
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Flight testing and system integration
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Defense, aerospace or other high-reliability engineering environments
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Contributions to influential open-source robotics projects or peer-reviewed publications
Recruitment Process
1 coding test and 3 interviews: intro call, technical interview, HR interview.
Additional Information
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Contract Type: Full-Time
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Location: Paris
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Education Level: Master's Degree
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Experience: > 1 year
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Occasional remote authorized
Company Info

Neurobus
Develops neuromorphic computing solutions for frugal AI applications in defence and aerospace. Creat...