Software Engineer II (C#, Industrial Applications)

We are a national staffing firm and are currently seeking a Measured Systems Software Engineer for a prominent client of ours. This position is On Site in Corning, NY.

Pay: $53 - $57hr. 12-month assignment, possible extension based on budget and performance.

Seeking a Measurement Systems Software Engineer to support the design, development, integration, and deployment of software for industrial measurement and inspection systems used in manufacturing environments across Corning's businesses. The role emphasizes C#/.NET software development, hardware integration, and deployment of robust solutions for production use. The ideal candidate is a hands-on, collaborative, and self-driven engineer who is comfortable working closely with imaging hardware and machine vision technologies to deliver reliable, production-ready measurement systems.

Responsibilities

• Design, develop, test, and maintain software for industrial measurement and machine vision systems, primarily using C#/.NET.
• Support software communication, coordination, configuration, and data handling across distributed measurement system applications.
• Support the transfer of technology from development into manufacturing through software build, release, deployment, and system integration activities.
• Help evaluate, adopt, and apply AI-assisted and agentic coding tools to improve software development workflows, code quality, testing, and engineering efficiency.
• Contribute to the definition of best practices for incorporating AI development tools into day-to-day software engineering activities in a controlled and effective manner.
• Create and maintain technical documentation, including software specifications and support documentation.
• Train engineering, maintenance, and operations personnel on the use, support, and maintenance of deployed systems.
• Provide remote and onsite troubleshooting.

Required Experience/Skills

• Experience developing software applications in C# for production use, system integration, or industrial applications.
• Experience integrating software applications with specialized hardware systems (inspection/measurement/metrology systems, industrial sensors, imaging systems, image processing systems, machine vision cameras). If unable to find this, then must have experience with system integration, i.e. developing software to integrate into industrial hardware applications (big focus on C#).
• Not looking for someone to just sit behind a screen on a computer; must be okay getting on the floor working with the hardware/equipment, supporting integration, etc. Someone who has developed software to integrate with robotics would be a solid candidate and bring value to the role.
• If someone can't travel internationally, it's not a deal breaker. But would really like someone to be able to travel domestically (will not be often, just for certain deployments/critical).
• Targeting bachelor's and 3-5 years of experience; will need a little more if no degree (hiring manager not really interested in seeing PhD candidates, thinks they are not the best fit here).
• Top skills: Experience developing software to integrate into industrial hardware applications (strong preference for manufacturing and production systems); C#.

Desired Experience/Skills

• Experience with WPF user interface development frameworks in .NET.
• Experience with motion control systems, cameras, image acquisition hardware, and integrated imaging platforms.
• Hands-on experience working with imaging hardware, cameras, measurement equipment, or related instrumentation.
• Experience applying machine learning or computer vision methods to inspection, classification, or measurement problems.
• Familiarity with databases, containerization, or high-performance computing environments.
• Experience evaluating, adopting, or helping define best practices for AI-enabled software development workflows.
• Knowledge of machine vision and image processing methods such as feature extraction, edge detection, morphology, classification, inspection, and metrology.
• Experience with machine vision or image processing libraries such as Halcon, OpenCV, LabVIEW, or similar tools.