Software Engineer Cranberry Twp

This is an opportunity to work on real-world applications of artificial intelligence, computer vision, robotics, edge computing, cloud connectivity, and advanced analytics-developing software that supports critical manufacturing and quality processes with exceptional precision, reliability, and performance. You will collaborate closely with software, electrical, mechanical, and systems engineering teams to bring cutting-edge technologies from concept through commercialization while helping drive the next generation of industrial automation solutions. Responsibilities:

• Architect and develop software for next-generation inspection and automation systems
• Develop machine vision, AI, and data analytics solutions for industrial environments
• Design scalable desktop, edge, and cloud-connected applications
• Build software that interfaces with robotics, sensors, motion control systems, and industrial networks
• Contribute to product architecture, technical roadmaps, and technology strategy
• Lead software design reviews and code reviews with other engineers
• Evaluate and implement emerging technologies to improve product performance and customer value
• Collaborate across engineering disciplines throughout the product development lifecycle

• Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or related field
• 6+ years of professional software development experience
• Experience with AI, machine learning, computer vision, or advanced analytics solutions
• Strong proficiency in C#/.NET and object-oriented software design
• Experience developing modern desktop, cloud-connected, embedded, or distributed applications
• Experience developing software on both Windows and Linux platforms
• Solid understanding of networking, communications protocols, and system integration
• Experience with software architecture, design patterns, and scalable application development

Preferred Qualifications

• Experience with modern programming stacks and ecosystems including .NET, C++, WPF, .NET MAUI, RESTful APIs, and Matlab
• Experience with cloud platforms such as Azure or AWS
• Experience with machine learning frameworks such as ML.NET, TensorFlow, PyTorch, or machine vision frameworks such as OpenCV
• Experience with source control workflows such as mercurial or Git (DevOps)
• Experience with OPC UA, industrial communications, and automation systems
• Signal processing, image processing, or algorithm development experience
• Robotics, motion control, or autonomous systems experience
• Experience working with large data sets and predictive analytics
• Strong understanding of statistics and experimental design