Software Engineer/AI/Machine Vision (Entry Level)

About the Role

The Software Engineer/AI/Machine Vision (Entry Level) – Deployment & Applications Engineering role is a full-time, on-site position based in Auburn Hills, MI. This role focuses on implementing and supporting machine vision and AI-enabled automation solutions within customer systems. This is an Entry level position.

Key Responsibilities

• Developing and testing software components.
• Configuring machine vision applications.
• Integrating back-end logic with robotic and automation hardware.
• Troubleshooting system performance issues.
• Collaborating with senior engineers to deploy new systems.
• Participating in simulations and proofs of concept.
• Assisting in retrofits and upgrades of existing installations.
• Documenting software designs.
• Supporting system installation and commissioning at customer sites.
• Providing technical input for service and training activities.
• Willingness to work at plants on occasion when required for installation and debugging new systems.

Requirements & Tech Stack

• Foundational knowledge in Computer Science, including algorithms, data structures, and software engineering principles.
• Hands-on experience with Software Development and Programming.
• Familiarity with modern languages relevant to automation and machine vision (e.g., C++, C#, Python).
• Understanding of Object-Oriented Programming (OOP) concepts.
• Exposure to Back-End Web Development or server-side application development.
• Ability to work on-site in a hands-on engineering environment.
• Ability to travel to plants when necessary.
• This is an onsite -flex position in Auburn Hills, Michigan.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, Robotics, or a related technical field.
• Interest in AI, machine vision, and robotics (coursework or projects in these areas are a plus).
• Ability to apply OOP concepts to design maintainable, modular software.
• Ability to work on-site, including occasional support at customer facilities.
• Effective communication skills.
• Collaborative mindset.
• Willingness to learn from cross-functional engineering teams.
• Familiarity with industrial automation, control systems, or vision systems (e.g., camera calibration, image processing) is beneficial.