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Internship Computer Vision Robotics Jobs in Louisville, KY

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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.

What are popular job titles related to Internship Computer Vision Robotics jobs in Louisville, KY?

For Internship Computer Vision Robotics jobs in Louisville, KY, the most frequently searched job titles are:

Senior AI Engineer - Physical

University of Louisville

Louisville, KY • On-site

$185K/yr

Full-time

Posted 12 days ago


University Of Louisville rating

8.1

Company rating: 8.1 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

168th of 623 rated colleges and universities


Job description

Department:
Location:
Non-Campus Other
Time Type:
Full time
Worker Type:
Regular
Job Req ID:
R109107
Minimum Requirements:
Master's degree or higher in Computer Engineering, Computer Science, or Data Science and two (2) years of relevant experience. Grade 13 (Salaried)
Position Description:
The University of Louisville is seeking to hire a Senior AI Engineer to research and build Physical AI systems that move intelligence from isolated servers into the real world, systems that sense, understand, decide, and act autonomously. The role translates frontier AI into deployable systems across clinical imaging pipelines, autonomous robotics, and cyber-physical infrastructure, combining advanced computer vision and foundation/world models with robotics and edge computing. Highest-impact application areas include medical & healthcare, government & defense, and industry & agriculture, wherever real-time, autonomous physical execution is critical.
Essential Duties and Responsibilities
  • Develop advanced computer-vision and foundation models, including self-supervised learning that learns from raw, unstructured data and adapts rapidly to high-stakes, domain-specific tasks (e.g., medical imaging, defect detection).
  • Build world-model and robotics systems that develop an intuitive understanding of physics and space, enabling robots to anticipate outcomes, adapt in unpredictable environments, and transfer from simulation to reality.
  • Engineer cyber-physical and distributed systems: on-device (edge) inference for instant reflexes without connectivity, multimodal sensor fusion (camera, thermal, radar), and fleet intelligence that shares learning across devices.
  • Deploy AI onto edge hardware, drones, mobile robots, and sensor networks, for real-time autonomous data collection and action.
  • Apply the Sense → Understand → Decide → Act pipeline to concrete deployments in healthcare imaging/monitoring, defense, and precision agriculture/industry.
  • Produce open-source tools, testbeds, and peer-reviewed research.
  • Work within secure environments that handle sensitive data: apply cybersecurity best practices and institutional security and compliance controls (e.g., HIPAA, NIST 800-53) across every system built and operated.

Preferred Qualifications
  • At least 2 years of direct, hands-on experience in physical AI, robotics, or embodied AI, computer vision, robotics, and/or edge/embedded deployment (i.e., 2+ years working in this specific role).
  • Demonstrated expertise in computer vision and deep learning.
  • Hands-on experience with robotics and/or embedded/edge computing, with strong programming skills (e.g., Python) and modern ML frameworks.
  • Proven ability to work in secure environments that handle sensitive, confidential data, with a strong focus on cybersecurity. Must follow institutional security, privacy, and compliance controls (e.g., HIPAA, NIST 800-53) and apply secure engineering practices to protect sensitive data.
  • Foundation models and self-supervised learning; medical imaging (CT/WSI).
  • Robotics middleware (e.g., ROS), physics simulation, and sim-to-real transfer.
  • Edge/embedded deployment, multimodal sensor fusion, and UAV/autonomous platforms.
  • Record of open-source contributions and peer-reviewed publications.

Competencies
  • Advanced computer vision & foundation models
  • Self-supervised learning
  • World models & robotics (sim-to-real)
  • Edge AI & on-device inference
  • Multimodal sensor fusion
  • Cyber-physical & distributed (fleet) systems
  • Cybersecurity & secure handling of sensitive data

Target Compensation Maximum:
$185,857.00
Target Compensation Minimum:
$123,870.00
Compensation will be commensurate to candidate experience.
Equal Employment Opportunity
The University of Louisville is an Equal Employment Opportunity employer. The University strives to provide equal employment opportunity on the basis of merit and without unlawful discrimination on the basis of race, sex, age, color, national origin, ethnicity, creed, religion, disability, genetic information, sexual orientation, gender, gender identity or expression, veteran status, marital status, or pregnancy. In accordance with the Rehabilitation Act of 1973 and the Vietnam Era Veteran Readjustment Act of 1974, the University prohibits job discrimination of individuals with disabilities, Vietnam era veterans, qualified special disabled veterans, recently separated veterans, and other protected veterans. The University acknowledges its obligations to ensure affirmative steps are taken to ensure equal employment opportunities for all employees and applicants for employment. It is the policy of the University that no employee or applicant for employment be subject to unlawful discrimination in terms of recruitment, hiring, promotion, contract, contract renewal, tenure, compensation, benefits, and/or working conditions. No employee or applicant for employment is required to endorse or condemn a specific ideology, political viewpoint, or social viewpoint to be eligible for hiring, contract renewal, tenure, or promotion.
Consistent with applicable law, demographic information is collected for aggregate reporting requirements. Demographic information provided through this application is not available to hiring managers/committees and is not considered in hiring or employment decisions.
Assistance and Accommodations
Computers are available for application submission at the Human Resources Department located at 2315 South First Street Walk, Room 02C - Louisville, Kentucky 40292.
If you require assistance or accommodation with our online application process, please contact us by email at employment@louisville.edu or by phone 502-852-6258.

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