Computer Vision Engineer

Wabtec Corporation is a leading global provider of equipment, systems, digital solutions and value-added services for freight and transit rail. Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation and Faiveley Transport, the company has 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, creating transportation solutions that move and improve the world. Wabtec has approximately 27,000 employees in facilities throughout the world. Visit the company’s new website at: http://www.WabtecCorp.com.

It’s not just about your career… or your job title…it’s about who you are and the impact you are going to make on the world. Do you want to go into uncharted waters…do things that haven’t been done to make yours and someone else's life better? Wabtec has been doing that for decades and we will continue to do so! Through our people, leadership development, services, technology and scale, Wabtec delivers better outcomes for global customers by speaking the language of industry.

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, coupled with 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.

Position Overview:
Wabtec is looking to hire a motivated Machine Vision Engineer with demonstrated experience building machine vision solutions to join an established and dynamic group. The qualified applicant will join Wabtec Wabtec's Machine Vision team to work on product developments and cutting-edge projects.
Key Responsibilities:
Working with the Machine Vision Algorithm (MVA) team and interacting with other teams in the Engineering department.
Development, testing and deployment of MVA tasks and reporting status to MVA and engineering management

Skills, Abilities & Experience Required:
Bachelor's degree in Electrical Engineering, Computer Engineering, or related field
Must be proficient in MATLAB or Python
Relevant project experience in image processing, point cloud or depth maps, camera calibration, and/or image pre-processing, image segmentation, image registration, and morphological operation
Strong verbal and written communication skills, along with the ability to work well within a team environment

Preferred Skills, Abilities & Experience:
Relevant industry work experience building machine vision solutions
Deep knowledge of advanced image processing principles, theories, and concept
Familiarity with well-known machine vision and image processing libraries
Proficiency in machine learning frameworks such as Tensorflow or PyTorch
Exceptional attention to detail in algorithm development
Proven track record of developing machine vision solutions
Solid foundation in machine learning
Working knowledge in software version control

Wabtec Corporation is committed to taking on the world’s toughest challenges. In order to fulfill that commitment we rely on a culture of leadership, diversity and inclusiveness. We aim to employ the world’s brightest minds to help us create a limitless source of ideas and opportunities. 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.