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Internship Computer Vision Engineer Jobs in Warren, MI

XA.net

Robotics Software Engineer

Warren, MI · On-site

Solid background in 3D computer vision and point cloud processing (PCL, OpenCV) for robotic manipulation tasks. Programming Skills: Strong proficiency in modern C++ and Python. System Integration:

G-TECH Services, Inc.

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Manufacturing Controls Engineer

Sterling Heights, MI · On-site

$42.50/hr

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Manufacturing Controls Engineer * Develop and implement improvements to control systems and ... Robotics, Computer Vision Experience Required: * Education: High School Diploma * Experience: 5+ ...

Danaher

Software Engineer Internships

Detroit, MI · On-site

... in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship ...

Danaher

Software Engineer Internships

Warren, MI · On-site

... in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship ...

Tata Consultancy Services

AI Researcher

Detroit, MI · On-site

About the Role As an AI Researcher for Computer Vision & Autonomous Robots at TCS, you'll work on ... Partner with cross-functional teams in AI, robotics, and systems engineering to co-create ...

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Internship Computer Vision Engineer information

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$12

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$36

How much do internship computer vision engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for internship computer vision engineer in Warren, MI is $23.87, according to ZipRecruiter salary data. Most workers in this role earn between $19.42 and $27.12 per hour, depending on experience, location, and employer.

What does an internship computer vision engineer do?

An Internship Computer Vision Engineer assists in developing and testing algorithms that allow computers to interpret and process visual information from the world, such as images and videos. They often work on tasks like object detection, image classification, and facial recognition using programming languages like Python and tools such as OpenCV or TensorFlow. Interns may also help collect and annotate datasets, run experiments, and analyze results under the guidance of senior engineers. This role is ideal for students or recent graduates seeking hands-on experience in the field of computer vision and artificial intelligence.

What are the key skills and qualifications needed to thrive as an internship computer vision engineer?

To thrive as an Internship Computer Vision Engineer, you need a solid background in computer science, mathematics, and image processing, usually demonstrated through coursework or relevant project experience. Familiarity with programming languages like Python or C++, frameworks such as OpenCV or TensorFlow, and knowledge of machine learning algorithms are commonly expected. Strong problem-solving abilities, attention to detail, and effective teamwork skills help you stand out in this collaborative and innovative field. These skills and qualities are crucial for developing, testing, and optimizing computer vision solutions that address real-world visual data challenges.

What are popular job titles related to Internship Computer Vision Engineer jobs in Warren, MI?

For Internship Computer Vision Engineer jobs in Warren, MI, the most frequently searched job titles are:

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Internship Computer Vision Engineer jobs near you
Infographic showing various Internship Computer Vision Engineer job openings in Warren, MI as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $49,654 per year, or $23.9 per hour.

Robotics Software Engineer

XA.net

Warren, MI • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
We are seeking a highly skilled and motivated Robotics Software Engineer to lead the development of a next-generation dual-arm, ROS 2-based manipulation system capable of operating with multiple grippers in a flexible automation environment.
In this role, you will be responsible for architecting and implementing a robust, scalable ROS 2 software stack that coordinates two robotic arms and enables advanced motion planning and 3D perception for complex manipulation tasks. You will own the end-to-end software lifecycle: from high-level architecture and simulation, down to real-time integration with industrial robot controllers, and 3D vision sensors.
Key Responsibilities
System Architecture (ROS 2 Dual-Arm)
Lead the design and implementation of a ROS 2-based dual-arm control architecture (nodes, topics, services, actions, lifecycle) that supports coordinated and independent arm motions.
Define interfaces and APIs for motion planning, perception, and gripper/tool management.
Motion Planning & Coordination
Develop, tune, and deploy advanced motion planning and manipulation algorithms using MoveIt 2 for dual-arm coordination (bimanual tasks, handovers, collision-aware trajectories).
Configure and maintain the kinematic models, planning scenes, and controllers for multiple robot arms and end-effectors.
Ensure safe, efficient trajectory generation in cluttered and dynamic environments.
Perception Pipeline Integration
Design and integrate 3D perception pipelines (point clouds, depth maps, 3D sensors such as Photoneo PhoXi, RealSense, ZED) for robust object detection, pose estimation, and scene understanding.
Fuse perception outputs with the planning scene to enable dual-arm, multi-gripper manipulation strategies (e.g., grasp selection, re-grasping, handover).
Software Development & DevOps
Write clean, efficient, production-quality C++ and Python code within the ROS 2 ecosystem (ament, colcon, ros2_control, MoveIt 2 plugins).
Establish and maintain CI/CD pipelines, code reviews, unit/integration tests, and documentation for the dual-arm system.
Required Qualification:
Master's degree in Robotics, Computer Science, Software Engineering, Electrical Engineering, or a related field.
ROS 2 Expertise: Proven, hands-on experience developing complex robotics applications using ROS 2 and its core concepts (Nodes, Topics, Services, Actions, lifecycle management).
Motion Planning: Deep understanding of kinematics, dynamics, and motion planning frameworks, with extensive hands-on experience using MoveIt 2.
Perception: Solid background in 3D computer vision and point cloud processing (PCL, OpenCV) for robotic manipulation tasks.
Programming Skills: Strong proficiency in modern C++ and Python.
System Integration: Experience interfacing with industrial robots and 3D vision hardware (e.g., RealSense, ZED).

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