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Internship Computer Vision Robotics Jobs in Heath, OH

Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the ... Bachelor's degree in Computer Science, Electrical Engineering, or equivalent * Experience in C ...

Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the ... Bachelor's degree in Computer Science, Electrical Engineering, or equivalent * Experience in C ...

Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the ... Bachelor's degree in Computer Science or a related field, or equivalent experience. * 1-6 years ...

Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the ... Bachelor's degree in Computer Science or a related field, or equivalent experience. * 1-6 years ...

Domain Experience: Prior experience in part templating, robotic weld programming, CAD/CAM ... Comprehensive medical, dental, and vision coverage * 6 weeks fully paid parental leave, plus an ...

Domain Experience: Prior experience in part templating, robotic weld programming, CAD/CAM ... Comprehensive medical, dental, and vision coverage * 6 weeks fully paid parental leave, plus an ...

Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the ... Motion graphics, 3D, or CAD visualization skills are a plus. * Trade show or live event production ...

Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the ... Motion graphics, 3D, or CAD visualization skills are a plus. * Trade show or live event production ...

Showing results 21-40

Internship Computer Vision Robotics information

What is an internship computer vision robotics?

Internship Computer Vision Robotics positions are temporary roles designed for students or early-career professionals to gain practical experience in applying computer vision techniques within robotic systems. Interns in these roles typically work on projects involving image processing, object detection, 3D vision, and integrating visual data into robotic control systems. These internships help candidates build technical skills, gain exposure to real-world robotics challenges, and often require knowledge of programming languages such as Python or C++, as well as familiarity with machine learning frameworks. They are commonly offered by research labs, tech companies, and robotics startups.

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

To thrive in an Internship Computer Vision Robotics role, you typically need a solid background in computer science, mathematics, and robotics, often supported by coursework or projects in machine learning and image processing. Familiarity with programming languages like Python or C++, and experience using tools such as OpenCV, ROS, and deep learning frameworks (e.g., TensorFlow or PyTorch) are commonly required. Strong problem-solving, teamwork, and effective communication skills set candidates apart in multidisciplinary environments. These skills are essential for developing innovative solutions and collaborating on complex robotics projects.

What types of projects and technologies will I typically work on during an internship in computer vision robotics?

As an intern in computer vision robotics, you will often work on hands-on projects involving tasks like object detection, image segmentation, sensor data processing, or robotic navigation. You may use programming languages like Python or C++, and frameworks such as OpenCV, ROS (Robot Operating System), and TensorFlow or PyTorch for machine learning components. Interns collaborate closely with engineers and researchers, participating in code reviews, testing algorithms on real or simulated robots, and troubleshooting system integration. This role offers exposure to both software development and hardware interaction, providing a comprehensive experience in robotics and computer vision.

What is the difference between Internship Computer Vision Robotics vs Internship Machine Learning?

AspectInternship Computer Vision RoboticsInternship Machine Learning
Required CredentialsRelevant coursework, basic programming skills, familiarity with robotics and vision toolsProgramming skills, math background, familiarity with algorithms and data analysis
Work EnvironmentRobotics labs, hardware integration, software developmentData analysis, software development, research environments
Employer & Industry UsageRobotics companies, research labs, tech firms working on autonomous systemsTech companies, research institutions, AI startups

Internship Computer Vision Robotics focuses on developing systems that enable robots to interpret visual data, combining hardware and software skills. In contrast, Internship Machine Learning emphasizes designing algorithms to analyze data and build predictive models. Both roles require programming knowledge but differ in their application areas and work environments.

Infographic showing various Internship Computer Vision Robotics job openings in Heath, OH as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 24% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Software Engineer, Fleet Platform

Path Robotics

Columbus, OH • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

Build the Path Forward
At Path Robotics, we're building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the skilled labor gap and transforming industries. We go beyond traditional methods, combining perception, reasoning, and control to deliver field-ready AI that is risk-aware, reliable, and continuously improving through real-world use.
Big, hard problems are our everyday work, and our team of intelligent, humble, and driven people make the impossible possible together.
We are seeking a Platform-focused Software Engineer to join our team. You will bridge the gap between software development and fleet orchestration, building the infrastructure that powers our robots, both locally and in the cloud. This role requires a unique blend of developer skills and platform operations experience to build the tools, automation, and observability systems that ensure our robotic deployments are scalable, secure, and reliable. If you are passionate about solving complex, real-world robotics problems and eager to shape the future of manufacturing, we want to hear from you.
What You'll Do
Tech you will use:
  • Languages: Python, Terraform HCL, Node.js, Ansible
  • Infrastructure: AWS, Docker, Kubernetes, Terraform.
  • Fleet & Robotics: OTA (Over-the-Air) software deployment systems, Observability tooling (e.g., Foxglove),
  • Identity & Security: Enterprise AuthN/AuthZ integrations.
  • Collaboration: CI/CD (GitHub Actions), Jira/Confluence, Google Workspace.

Core Responsibilities:
  • Platform Development: Build and scale configuration management processes to support our robotic fleet.
  • Infrastructure Automation: Automate complex infrastructure processes, including enterprise-scale AWS account management and deployments.
  • Fleet Orchestration: Design and maintain OTA (Over-the-Air) software deployment systems to ensure seamless updates across our robotic assets.
  • Identity & Access: Support the migration and management of enterprise-level AuthN and AuthZ for internal and external applications.
  • Observability: Implement and enhance robotics observability tooling (e.g., Foxglove) to improve robot-to-cloud integration and monitoring.
  • Incident Management: Develop automated incident reporting and escalation tooling to proactively identify and resolve production issues.
  • Collaboration: Work alongside product engineers to ensure the platform meets the needs of both the robotic fleet and the applications that interface with it.

Who You Are
  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience). 2+ years of experience in production support, development, and DevOps practices.
  • The Hybrid Engineer: You understand the interdependent relationship between product features and the underlying infrastructure. You apply software development best practices (reusable code, automated testing) to platform engineering.
  • Infrastructure Pro: You are proficient in managing cloud environments (AWS) and understand the complexities of multi-account deployments.
  • Robotics Enthusiast: You are excited by the challenge of moving data between robots and the cloud. You have hands-on experience or a strong interest in tools for remote robotics tooling (e.g., Foxglove, Rerun).
  • Security-Minded: You have experience with Enterprise AuthN/AuthZ and understand the importance of secure identity management at scale.
  • Problem Solver: You thrive on troubleshooting complex, distributed issues and are committed to automating your way out of manual tasks.

Why You'll Love Working Here
  • Daily free lunch to keep you fueled and connected with the team
  • Flexible PTO so you can take the time you need, when you need it
  • Comprehensive medical, dental, and vision coverage
  • 6 weeks fully paid parental leave, plus an additional 6-8 weeks for birthing parents (12-14 weeks total)
  • 401(k) retirement plan through Empower
  • Generous employee referral bonuses-help us grow our team!

Who We Are
At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.com. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours.