Senior Computer Vision Engineer

Infinite Orbits PTE Ltd.; Toulouse; Hybride; EUR 90 000 - 150 000; Plein temps

Avantages offerts par ce poste

International team

Innovative space-tech projects

Creative work environment

Résumé du poste

Infinite Orbits PTE Ltd. in Toulouse seeks a Senior Computer Vision Engineer to lead vision algorithms for space imaging systems, collaborating with engineers and scientists to process orbital sensor data and deliver actionable insights for navigation and operations.

You will define standards for CV/AI, mentor engineers, design pipelines for spaceborne sensors, and deploy models with CI/CD on Linux and edge platforms, while staying updated on new CV/AI techniques.

Qualifications

• Bachelor’s, Master’s, or PhD in CS/EE/Robotics or related field.
• 8+ years in computer vision/AI development, including leadership roles.
• Proficiency in Python and C++ (Matlab a plus).
• Experience with TensorFlow, PyTorch, or Keras.
• Strong knowledge of classical CV and deep learning methods.
• Linux development, Git, Docker, Kubernetes, and CI/CD tools.
• Experience deploying ML workflows on AWS, GCP, or Azure.
• Excellent written and verbal English communication.

Responsabilités

• Define and maintain CV/AI standards across projects.
• Design and optimize vision pipelines for spaceborne sensors.
• Evaluate and integrate DL approaches for constrained compute.
• Interpret large-scale imaging data for anomaly detection and monitoring.
• Collaborate with GNC, robotics and flight software teams.
• Establish validation frameworks and automated training pipelines.

Connaissances

Python

C++

TensorFlow

PyTorch

Keras

Linux

Git

Docker

Kubernetes

CI/CD

AWS

GCP

Azure

Formation

Bachelor's degree in Computer Science

Master's degree in Electrical Engineering or related

PhD in Computer Science or related field

Outils

Docker

Kubernetes

Git

Jenkins

GitLab CI

Description du poste

Established in 2017, Infinite Orbits is a NewSpace company, based in Toulouse, pushing the boundaries of in-orbit services with cutting-edge spacecraft driven by its own Rendez-Vous solution, an advanced Autonomous Vision-Based Navigation Solution. IO has two generations of missions

"Orbit Guard" provides Inspection and Space Situational Awareness services in GEO. Our first, OG-1 was launched on 1 May 2023, the second is launching in 2025 and the third third launching in 2026.

"Endurance" is a docking service capable of extending the life of GEO telecom satellites, by taking over AOCS takeover for 5 years.

About the Role

As a Senior Computer Vision Engineer with extensive AI experience, you will lead the development and deployment of vision algorithms and AI models for our space imaging systems. You will collaborate with engineers and scientists to process and interpret data from orbital sensors, delivering reliable insights to support navigation and mission operations.

Job Description

Define and maintain standards for computer vision and AI across projects and mentor mid- and junior-level engineers.

Design, implement, and optimize vision pipelines for spaceborne sensors.

Evaluate and integrate deep-learning approaches to improve performance under constrained compute.

Oversee interpretation of large-scale imaging datasets to detect anomalies, track changes, and support decision making.

Collaborate with GNC, robotics, and flight software teams to embed vision modules into in-orbit autonomy systems.

Establish validation frameworks and CI/CD processes for automated training, testing, and deployment on Linux and edge platforms.

Stay informed of emerging computer vision and AI techniques and contribute to technical reviews and cross-functional discussions.

Requirements

Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Robotics, or related field; at least 8 years of computer vision/AI development experience, including leadership roles.

Proficiency in Python and C++ (Matlab a plus) and hands-on experience with TensorFlow, PyTorch, or Keras.

Strong understanding of classical computer vision algorithms (feature extraction, multi-view geometry) and modern deep-learning methods.

Comfortable with Linux development, Git, Docker, Kubernetes, and CI/CD tools (e.g., Jenkins, GitLab CI).

Experience deploying ML workflows on AWS, GCP, or Azure.

Clear written and verbal communication skills in English for technical documentation and collaboration.

Preferred Qualifications:

Direct involvement with space or satellite imaging systems and real-time robotics frameworks.

Background in satellite guidance, navigation, and control or related autonomy applications.

Familiarity with 3D computer graphics, photogrammetry, or remote sensing.

Publications or open-source contributions in top-tier computer vision or AI conferences.

What we offer

The opportunity to be part of an international team transforming the space industry.

A creative and innovative work environment where ideas turn into reality.