Computer Vision Engineer

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. Responsibilities Design, 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. Requirements Education: 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. Compensation The salary range for this role is $67,400.00–$96,000.00. The actual salary offered may be influenced by training, transferable skills, work experience, education, business needs, market demands and work location. Benefits include health, welfare, retirement, and potential annual bonus. About the Company Wabtec Corporation is a leading global provider of equipment, systems, digital solutions, and value‑added services for freight and transit rail, mining, marine, and industrial markets. Drawing on nearly four centuries of collective experience, Wabtec has grown to become One Wabtec, with unmatched digital expertise, technological innovation, and world‑class manufacturing and services. Diversity Statement Wabtec 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. We embrace diversity and inclusion and celebrate the variety of experiences, expertise, and backgrounds that bring us together. #J-18808-Ljbffr