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COMPUTER VISION ENGINEER (H/F)

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Sur place

EUR 40 000 - 60 000

Plein temps

Il y a 12 jours

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Résumé du poste

Une entreprise innovante dans le domaine de la technologie AV est à la recherche d'un expert en développement de systèmes de vision par ordinateur. Le rôle inclut la conception et l'optimisation d'algorithmes sophistiqués en Rust et C++, ainsi que le prototypage rapide en Python. Ce poste convient à ceux possédant une expérience en systèmes temps réel et un intérêt pour les technologies immersives.

Qualifications

  • 2-3 ans d'expérience en systèmes de vision par ordinateur et systèmes en temps réel.
  • Compétences requises en Rust, C++, et Python.
  • Bonne compréhension de la géométrie multivue et de l'estimation de pose.

Responsabilités

  • Développement de systèmes de vision par ordinateur robustes.
  • Prototypage et validation d'algorithmes en Python.
  • Optimisation du code pour des environnements temps réel.

Connaissances

Vision par ordinateur
Rust
C++
Python
Géométrie multivue
Estimation de pose
Linear Algebra
Communication

Formation

Master ou Ph.D. en Informatique ou domaine connexe

Outils

Docker
Git
Nix

Description du poste

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Le job

Naostage combines technology and creativity to redefine immersive experiences. We pioneered beaconless 3D tracking systems, revolutionizing live events, entertainment, and interactive installations. Our solutions empower creators worldwide by integrating advanced tracking, show control, and AI-driven tools. We aim to transform how performances and spaces are experienced.

Join us in shaping the future of AV technology, delivering cutting-edge innovation, and enabling unforgettable moments!

Your responsibilities

  • System Development: design and implement robust computer vision algorithms and pipelines for multiview human estimation and tracking using Rust and C++.
  • Prototyping: build and validate prototypes in Python to test new algorithms and ideas.
  • Optimization: profile and optimize code for performance, ensuring low latency and high efficiency in real-time environments.
  • Research: stay updated on the latest advancements in computer vision and machine learning, applying state-of-the-art techniques to improve system capabilities.
  • Testing and Debugging: perform rigorous testing and debugging to ensure reliability and scalability of the tracking system.

Le profil

Preferred Experiences

  • Experience: 2-3 years in computer vision and real-time systems.
  • Programming Skills: proficiency in Rust and C++ for production code, and Python for prototyping and rapid development.
  • Multiview Tracking: strong expertise in multiview geometry, camera calibration, and 3D reconstruction.
  • Pose Estimation: experience with 2D/3D human pose estimation algorithms and their applications.
  • Knowledge: solid understanding of linear algebra, computer graphics, and image processing techniques.
  • Collaboration: excellent communication skills and ability to work in a team-oriented environment.
  • Version Control Expertise: proficient in using Git for version control.
  • Education: Master's or Ph.D. in Computer Science or a related field is preferred.

Nice to have

  • Background in AI-based re-identification systems and temporal data processing.
  • Experience with thermal imaging and advanced camera setups.
  • Experience in setting up and optimizing Docker environments for computer vision workflows and familiarity with Nix or similar build systems for reproducible and efficient software environments.
  • Proficiency in designing and maintaining GitHub Actions workflows.
  • Python binding experience with maturin for Rust and pybind11 for C++.
  • Experience in the audiovisual industry, such as working as a lighting designer, video engineer, or sound engineer, with a deep understanding of the technical and creative requirements for live events, performances, and immersive installations.

Recruitment process:

  • 1st call or meeting with the cofounder and CTO to validate the match.
  • 2nd call or meeting with the rest of the team to ensure mutual interest and fit.
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