Machine Vision Development Engineer I (Machine Vision)

Location: Onsite in Zeeland, Michigan, United States; hybrid and remote work are not available.

Company

hirify.global develops quality products and innovative technologies across an evolving range of industries.

What you will do

• Assist with designing production vision systems, including imaging components, illumination, and PC hardware.
• Support machine vision algorithm development for product quality inspection, process control, and manufacturing automation.
• Implement features, fix bugs, troubleshoot, debug, and upgrade production vision applications.
• Set up prototype imaging systems and help qualify online and offline vision systems in production.
• Gather basic analytics, maintain technical documentation, and explain vision system operation to end users.
• Provide production downtime support and collaborate with cross-functional engineering teams to resolve issues quickly.

Requirements

• Bachelor’s degree in engineering, science, or a related technical field.
• 0–3 years of experience in engineering, technical, scientific, or related work; co-op and internship experience may count.
• Foundational knowledge of computer systems and technologies, with basic understanding of vision hardware, optics, and lighting.
• Experience with at least one modern programming language, such as C# or Visual Basic .NET.
• Problem-solving, communication, documentation, and Microsoft Office skills.
• Current and continuing right to work in the United States without sponsorship is required.

Nice to have

• Master’s degree in engineering, science, or a related technical field.
• Experience with the .NET Framework, C#, C++, or VB.
• Experience with MVTec Halcon, OpenCV, or another machine vision library.
• Knowledge of statistical analysis applied to manufacturing data, mechanical aptitude, or basic electronics knowledge.
• Experience with photography and optics.

Culture & Benefits

• Action-oriented and quality-focused engineering environment.
• Emphasis on learning through experimentation and continuous improvement.
• Collaborative work with cross-functional team members and guidance from experienced engineers.
• Commitment to safety, integrity, confidentiality, and accountability.
• Equal employment opportunity and reasonable accommodation for applicants with disabilities.