Remote Computer Vision & Video Analytics Engineer (Aerospace)

Aimlroles; Toulouse; Hybrid; EUR 55,000 - 70,000; Full time

Benefits offered by this job

Remote work option

Fresh coffee & beverages

UpNext community events

Flexible hours

Job summary

Airbus UpNext in Toulouse is seeking a Computer Vision & Video Analytics Engineer to join the team on a CDI-C contract tied to a demonstrator project. You will work with senior AI engineers on vision-based solutions across multiple benches (ground, air, road) and collaborate with international partners.

Responsibilities include dataset construction and model training, algorithm development in Python, testing, and hardware integration.

Qualifications

• Master's degree or equivalent in relevant field; portfolio welcomed.
• Proficient Python; experience with PyTorch and OpenCV.
• Solid understanding of core CV concepts: object detection, tracking, camera geometry, metrics.
• Comfortable with Git and Linux command line.
• Strong documentation, curiosity and reliability.

Responsibilities

• Build and maintain annotated datasets: frame extraction, labelling, quality checks and train/validation splits.
• Train, fine-tune and evaluate models, report results with clear metrics.
• Implement and test new algorithms from literature in the Python codebase.
• Write unit and regression tests and keep documentation up to date.
• Help integrate the pipeline on target hardware: run benchmarks and diagnose video/camera issues.
• Explore new sensors by recording data and writing integration prototypes.

Skills

Python

PyTorch

OpenCV

Git

Linux command line

Education

Master's degree in computer vision / ML / robotics or related field

Job description

Airbus UpNext in Toulouse is seeking a Computer Vision & Video Analytics Engineer to join the team on a CDI-C contract tied to a demonstrator project. You will work with senior AI engineers on vision-based solutions across multiple benches (ground, air, road) and collaborate with international partners.

Responsibilities include dataset construction and model training, algorithm development in Python, testing, and hardware integration.