Ingénieur expérimenté en robotique

Neurobus

We are building the next generation of intelligent vision systems by combining neuromorphic computing with advanced sensing technologies. Our mission is to enable autonomous systems to perceive, navigate and make decisions in real time using orders of magnitude less power than conventional AI approaches.

At Neurobus, we believe edge intelligence will redefine autonomy across defense, aerospace and critical infrastructure. Our technology combines event-based sensing, neuromorphic computing and embedded AI to deliver robust perception and navigation where conventional vision systems struggle.

We're a multidisciplinary team of robotics engineers, computer vision researchers, embedded software engineers and hardware designers working together to solve problems that have never been solved before. Joining Neurobus means helping define the future of autonomous systems—not simply implementing existing technologies.

About the role

We are looking for an experienced Aerial Robotics Engineer to lead the development of the guidance, navigation and control capabilities of our autonomous aerial platforms.

This is a highly technical, hands-on engineering role with significant ownership. You will drive the architecture of our estimation and control stack, influence system-level design decisions, and help transform cutting-edge neuromorphic sensing technologies into reliable flight-ready products.

You will work across the full development cycle—from algorithm design and simulation to embedded implementation, flight testing and customer deployments—while collaborating closely with experts in perception, embedded AI and hardware.

This role is ideal for someone who enjoys solving first-principles engineering problems and wants to have a direct impact on the future of autonomous aerial systems.

What you will do

As a Senior Aerial Robotics Engineer, you will:

• Own the autonomy stack: Lead the architecture, development and evolution of state estimation, navigation, guidance and control pipelines for autonomous aerial vehicles.
• Drive technical direction: Make key architectural decisions balancing performance, robustness, computational efficiency and product constraints.
• Build production-grade systems: Design algorithms that transition successfully from research prototypes to reliable embedded software operating in challenging real-world environments.
• Develop advanced estimation and control: Design and implement solutions involving sensor fusion, model-based and AI-based nonlinear control, trajectory generation, visual-inertial navigation and autonomous mission execution.
• Validate through simulation and flight: Define verification strategies, develop simulation scenarios, analyse flight data and lead experimental campaigns to continuously improve system performance.
• Collaborate across disciplines: Work closely with computer vision, embedded software, electronics and systems engineers to co-design integrated autonomous systems.
• Shape the engineering culture: Mentor engineers, review technical designs, raise engineering standards and help grow a world-class robotics organization.
• Influence product strategy: Partner with leadership and customers to translate operational requirements into technical roadmaps and product capabilities.

What you will bring

Required:

• MSc or PhD in Robotics, Aerospace Engineering, Control Engineering, Computer Science or a related discipline.
• 4 years of experience developing autonomous robotic or aerospace systems.
• Demonstrated experience designing and deploying complete navigation, estimation and control pipelines on real robotic platforms.
• Strong expertise in modern state estimation techniques, including Kalman filtering, nonlinear optimization and sensor fusion.
• Strong understanding of flight control, guidance, trajectory planning and nonlinear control methods.
• Experience bringing robotics algorithms into production-quality embedded software.
• Excellent C development skills, with Python used for simulation, experimentation and tooling.
• Experience analysing flight logs, debugging complex robotic systems and improving system reliability through experimentation.
• Strong systems engineering mindset with the ability to balance a