Job Description

It's not just about your career or job title... It's about who you are and the impact you will make on the world. Because whether it's for each other or our customers, we put People First. When our people come together, we Expand the Possible and continuously look for ways to improve what we create and how we do it. If you are constantly striving to grow, you're in good company. We are revolutionizing the way the world moves for future generations, and we want someone who is ready to move with us.
Wabtec fournit des detecteurs en bord de voie bases sur la vision pour le marche de la maintenance du materiel roulant.

Sa technologie de mesure sans contact permet une evaluation tres detaillee de l'etat des composants des trains -- allant de l'etat de surface des roues a l'inspection complete du train -- sur des trains en service et a grande vitesse.

Les systemes en bord de voie de Wabtec, ses applications logicielles et sa technologie d'analyse d'image permettent aux compagnies ferroviaires (TOCs) de gerer la maintenance et l'exploitation de leur flotte grace a des mesures et inspections automatisees.

Les alertes, alarmes et rapports en temps reel permettent de reduire considerablement les couts de maintenance et d'augmenter la disponibilite de la flotte pour la generation de revenus.
Apercu du poste
Nous recherchons un(e) ingenieur(e) en vision par ordinateur pour concevoir, developper et optimiser des solutions avancees de traitement d'image et d'apprentissage profond pour des applications en temps reel.

Le poste implique de travailler sur des systemes de pointe bases sur des cameras et des lasers pour des mesures et detections precises, avec un accent sur l'innovation, l'optimisation des performances et l'integration fluide dans des environnements de production.
ResponsabilitesConcevoir, implementer et optimiser des algorithmes de vision par ordinateur en Python, MATLAB et C++ pour des performances en temps reel. Developper des solutions de pointe combinant traitement d'image traditionnel et apprentissage profond pour la detection et la mesure precises des composants ferroviaires. Rechercher et appliquer de nouvelles techniques en apprentissage profond, apprentissage non supervise et vision par ordinateur pour ameliorer la precision et l'efficacite. Collaborer avec des equipes multidisciplinaires pour integrer les solutions de vision dans les systemes existants. Realiser des analyses de performance, du profilage et de l'optimisation pour repondre aux exigences de traitement a grande vitesse. Developper des prototypes et des preuves de concept pour valider de nouvelles technologies. Se tenir informe(e) des tendances emergentes en IA, vision par ordinateur et traitement d'image, et contribuer avec des idees innovantes. Documenter les methodologies, resultats de recherche et code pour favoriser le partage des connaissances et la reproductibilite. Participer aux revues de code et contribuer aux discussions techniques de l'equipe.

ExigencesFormation : Baccalaureat ou maitrise en informatique, genie electrique ou domaine connexe. Experience : Minimum de 2 ans d'experience pratique en traitement d'image, vision par ordinateur et applications d'apprentissage profond. Competences en programmation : Maitrise de Python et MATLAB, avec une solide experience en developpement C++. Cadres et outils : Experience avec OpenCV, PyTorch, TensorFlow et bibliotheques ML/DL associees. Solide comprehension des techniques d'apprentissage profond et de la conception d'algorithmes adaptes a la vision par ordinateur. Connaissance des methodes d'apprentissage non supervise est un atout. Experience avec le traitement de donnees de nuages de points est un avantage. Connaissance des workflows et bonnes pratiques MLOps/DevOps est souhaitee. Experience avec les plateformes cloud (AWS, Azure ou GCP), avec une preference pour AWS. Excellentes competences en resolution de problemes, avec la capacite de travailler de maniere autonome et collaborative. Solides competences en communication pour expliquer efficacement des concepts techniques complexes.

Wabtec provides vision-based wayside detectors for the rolling stock maintenance market. Its non-contact measurement technology enables highly detailed condition assessment of train components-ranging from wheel surface condition to full train inspection-on trains operating in service and at high speeds. Wabtec's wayside systems and software applications and image analysis technology enable Train Operating Companies (TOCs) to manage fleet maintenance and operation through automatic measurements and inspections. Real-time alarms, alerts, and reports enable significant reductions in maintenance costs and increase fleet availability for revenue generation.
Role Overview
We are seeking a skilled Computer Vision Engineer to design, develop, and optimize advanced image processing and deep learning solutions for real-time applications. The role involves working on cutting-edge camera and laser-based systems for accurate measurement and detection, with a focus on innovation, performance optimization, and seamless integration into production environments.
ResponsibilitiesDesign, implement, and optimize computer vision algorithms using Python, MATLAB, and C++ for real-time performance. Develop state-of-the-art solutions combining traditional image processing and deep learning for accurate rail component detection and measurement. Research and apply new techniques in deep learning, unsupervised learning, and computer vision to enhance accuracy and efficiency. Collaborate with cross-functional teams to integrate vision solutions into existing systems. Conduct performance analysis, profiling, and optimization to meet high-speed processing requirements. Develop prototypes and proof-of-concept projects to validate new technologies. Stay current with emerging trends in AI, computer vision, and image processing, and contribute innovative ideas to the team. Document methodologies, research findings, and code for knowledge sharing and reproducibility. Participate in code reviews and contribute to team-wide technical discussions.

RequirementsEducation: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. Experience: 2+ years of hands-on experience in image processing, computer vision, and deep learning applications. Programming Skills: Proficiency in Python and MATLAB, with strong C++ development experience. Frameworks & Tools: Experience with OpenCV, PyTorch, TensorFlow, and related ML/DL libraries. Strong understanding of deep learning techniques and algorithm design tailored for computer vision. Familiarity with unsupervised learning methods is a plus. Experience with point cloud data processing is an advantage. Knowledge of MLOps/DevOps workflows and best practices is preferred. Experience with cloud platforms (AWS, Azure, or GCP) is a plus, with preference for AWS. Excellent problem-solving skills, with the ability to work independently and collaboratively. Strong communication skills to effectively articulate complex technical concepts.

Who are we?
Wabtec Corporation is a leading global provider of equipment, systems, digital solutions, and value-added services for freight and transit rail as well as the mining, marine, and industrial markets. Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation, and Faiveley Transport, the company has grown to become One Wabtec, with unmatched digital expertise, technological innovation, and world-class manufacturing and services, enabling the digital-rail-and-transit ecosystems.
Wabtec is focused on performance that drives progress and unlocks our customers' potential by delivering innovative and lasting transportation solutions that move and improve the world. We are lifelong learners obsessed with making things better to drive exceptional results. Wabtec has approximately 27K employees in facilities throughout the world. Visit our website to learn more! http://www.WabtecCorp.com
Our Commitment to Embrace Diversity:
Wabtec is a global company that invests not just in our products, but also our people by embracing diversity and inclusion. We care about our relationships with our employees and take pride in celebrating the variety of experiences, expertise, and backgrounds that bring us together. At Wabtec, we aspire to create a place where we all belong and where diversity is welcomed and appreciated.
To fulfill that commitment, we rely on a culture of leadership, diversity, and inclusion. We aim to employ the world's brightest minds to help us create a limitless source of ideas and opportunities. We have created a space where everyone is given the opportunity to contribute based on their individual experiences and perspectives and recognize that these differences and diverse perspectives make us better.
We believe in hiring talented people of varied backgrounds, experiences, and styles... People like you! Wabtec Corporation is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or protected Veteran status. If you have a disability or special need that requires accommodation, please let us know.