.NET Software Engineer - Machine Vision

• Responsible for the design, development, integration, and support of software for advanced measurement and inspection systems used in manufacturing.
• This role supports distributed software applications that coordinate imaging, motion, I/O, sequencing, and data handling to perform product inspection, quality control, and related manufacturing functions.
• The engineer will develop new software capabilities, support software release and deployment activities, and work closely with cross-functional teams to implement and sustain robust production solutions across client's businesses.
• This role will also help evaluate and establish effective AI-assisted software development practices, including the use of agentic coding tools, to improve development workflows and team productivity.

• 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 of software and integrated measurement systems.
• Develop and maintain C#/.NET production software applications.
• Support development of Client machine vision deployment platform.
• Integrate software with industrial hardware, sensors, cameras, and motion systems.
• Perform testing, validation, debugging, and troubleshooting.
• Support deployment of solutions in manufacturing plants.

• C#/.NET application development.
• WPF user interface development.
• Software architecture and component lifecycle management.
• Hardware and software integration testing.
• Motion control and industrial device communication.

• Support machine vision system deployments.
• Assist with plant troubleshooting and commissioning activities.
• Work with PLC-connected equipment.
• Support hardware validation in lab environments.
• Participate in field testing and deployment activities.

• Experience developing software applications in C#/.NET for production use, system integration, or industrial applications.
• Experience designing, developing, and troubleshooting software for distributed, multi-process, or integrated systems.
• Familiarity with software communication and messaging methods such as publish/subscribe architectures, message queues, or similar approaches.
• Experience with source control, software versioning, and build/release workflows using tools such as Git, GitLab, automated build systems, and package management tools.
• Experience supporting software deployment, troubleshooting, and long-term support in development or manufacturing environments.
• Strong written and verbal communication skills, including the ability to document technical work and communicate effectively with cross-functional teams.
• Interest in applying AI-assisted and agentic coding tools to improve software development workflows, code quality, testing, and engineering productivity.
• Strong C# development experience.
• .NET application development experience.
• Experience with production software development.
• Industrial system integration experience.
• Experience interfacing with sensors, motors, cameras, or industrial devices.
• Ability to troubleshoot software on physical equipment.
• Strong problem-solving and technical curiosity.

• 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.
• Machine vision experience, image processing knowledge, openCV exposure, robotics integration experience, PLC communication experience, SCADA system exposure, motion control system experience, manufacturing deployment experience.

• Strong interpersonal skills and the ability to work collaboratively with diverse teams.
• Results-oriented with excellent problem-solving abilities and a quick learning mindset.
• Ability to multitask effectively while maintaining attention to detail.
• Comfortable working independently and adapting to dynamic environments.

• Prefer BS, MS, or PhD in Computer Science, Software Engineering, Electrical Engineering, Optical Engineering, Physics, or a related field, bachelor's degree preferred but not required.
• 3 years minimum, but 5+ years preferred with the skills and experiences listed in the Required Skills Section.
• Hiring manager values technical skills and aptitude over education credentials.
• Preferred experience level is 3+ years of relevant industry experience.
• Relevant internships, academic projects, and research experience may be considered if directly related to industrial systems or software development.
• Candidates without degrees should demonstrate stronger hands-on industry experience.

• Domestic travel: approximately 10-30% preferred.
• Travel primarily supports deployments and troubleshooting at manufacturing sites.

• Top candidates will do a 30 minute initial screening with manager
• Selected candidates will do a 90 minute panel interview during which they will present on their skills and experiences related to the role.
• Manager will consider non-local candidates who are willing to relocate at their own expense.

DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.