Autonomous Space ML Engineer: Perception & Navigation

Infinite Orbits PTE Ltd.; Toulouse; Hybride; EUR 65 000 - 95 000; Plein temps

Résumé du poste

Infinite Orbits PTE Ltd. in Toulouse is seeking an AI/ML Engineer to design, train, and validate learning-driven models that operate onboard spacecraft, supporting perception, navigation, and decision-making in real mission environments.

This hands-on position requires building flight-ready ML components, integrating Python and C++ flight software, and collaborating with an international team across simulations, testing, and deployment of autonomous space systems.

Qualifications

• Strong foundation in machine learning, deep learning, reinforcement learning, or a related technical discipline.
• Practical experience developing, training, and evaluating ML models for perception, estimation, planning, or control systems.
• 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.
• Ability to design, debug, and scale training workflows, including dataset management, distributed training, and evaluation.
• Familiarity with deploying ML inference as part of larger autonomous or robotic software stacks.

Responsabilités

• 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.

Connaissances

ML fundamentals

Deep learning

Reinforcement learning

Python integration

Outils

PyTorch

TensorFlow

C++

Python

Simulation tools

Description du poste

Infinite Orbits PTE Ltd. in Toulouse is seeking an AI/ML Engineer to design, train, and validate learning-driven models that operate onboard spacecraft, supporting perception, navigation, and decision-making in real mission environments.

This hands-on position requires building flight-ready ML components, integrating Python and C++ flight software, and collaborating with an international team across simulations, testing, and deployment of autonomous space systems.