Autonomous Space Systems AI/ML Engineer

Infinite Orbits; Toulouse; On-site; EUR 65,000 - 98,000; Full time

Job summary

Infinite Orbits in Toulouse is seeking an AI/ML Engineer to build and deploy learning-driven capabilities within autonomous space systems. You will create models that operate in closed-loop autonomy, supporting perception, navigation, and decision-making in real mission environments.

This hands-on role focuses on real spacecraft deployment rather than offline evaluation. Responsibilities include designing and validating ML models for rendezvous, formation flying, on-orbit inspection, and space

Qualifications

• Strong foundation in machine learning, deep learning, reinforcement learning, or a related technical discipline.
• Proficiency with modern ML frameworks such as PyTorch or TensorFlow, and the ability to integrate models into Python and C++ systems.
• Experience building simulation tools or data generation pipelines to support ML development.

Responsibilities

• Design, train, and validate AI/ML models supporting satellite autonomy, including rendezvous and proximity operations, on-orbit inspection, formation flying, and space domain awareness.
• Develop learning‑based components for guidance, navigation, perception, and decision‑making, such as pose estimation, anomaly detection, behavior recognition, and trajectory generation.
• Build LLM- and VLM-powered tools to enable intuitive satellite operations, including natural language command interfaces and visual scene understanding.
• Create and maintain synthetic data generation pipelines that model realistic orbital dynamics, sensor behavior, lighting conditions, and uncertainty, using domain randomization and sim‑to‑real techniques.
• Extend and improve simulation environments used for training, verification, stress testing, and adversarial evaluation of autonomy models.
• Optimize models for flight deployment, applying techniques such as quantization, pruning, batching, and real‑time inference on limited onboard compute.
• Integrate ML components into flight software using well‑structured Python and C++ interfaces, with strong safeguards and fallback behaviors.
• Participate in software‑in‑the‑loop and hardware‑in‑the‑loop testing, closing the feedback loop between simulation, sensors, control systems, and model improvements.
• Take full ownership of your models, from early experimentation and training pipelines to testing, review, deployment, and long‑term maintenance.

Skills

ML knowledge

Python

C++

PyTorch or TensorFlow

Model deployment

Tools

Simulation tools

Data generation pipelines

Job description

Infinite Orbits in Toulouse is seeking an AI/ML Engineer to build and deploy learning-driven capabilities within autonomous space systems. You will create models that operate in closed-loop autonomy, supporting perception, navigation, and decision-making in real mission environments.

This hands-on role focuses on real spacecraft deployment rather than offline evaluation. Responsibilities include designing and validating ML models for rendezvous, formation flying, on-orbit inspection, and space