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Internship Computer Vision Jobs in Colorado (NOW HIRING)

... operate a computer Ability to operate hands tools and equipment Ability to operate machinery ... Our benefits include medical, vision, and dental with low employee costs. Not to mention generous ...

Internship or project experience involving engineering documentation, CAD, or data management ... Medical, Dental and Vision Insurance * Tax Advantage Accounts (HSA/FSA) * Employer Paid Short and ...

Configuration Engineer

Berthoud, CO · On-site

$72K - $90K/yr

Internship or project experience involving engineering documentation, CAD, or data management ... Medical, Dental and Vision Insurance * Tax Advantage Accounts (HSA/FSA) * Employer Paid Short and ...

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Internship Computer Vision information

What types of projects and daily tasks can I expect during a computer vision internship?

As a Computer Vision intern, you can expect to work on projects involving real-world image and video data, such as developing object detection models, data annotation, and helping improve existing algorithms. Daily tasks often include coding, running experiments, analyzing model performance, and collaborating with data scientists and software engineers. You may participate in team meetings, present your findings, and receive mentorship on best practices in both research and development. This hands-on experience provides a valuable opportunity to build your technical skills and gain insight into how computer vision applications are developed and deployed in industry.

What is an internship computer vision?

An Internship in Computer Vision involves working on projects related to image processing, machine learning, and AI-driven visual recognition. Interns typically assist in developing algorithms for object detection, image segmentation, and pattern recognition. They may work with deep learning frameworks like TensorFlow or OpenCV to train models on large datasets. This role provides hands-on experience in applying computer vision techniques to real-world problems, preparing interns for careers in AI and machine learning.

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

To thrive as an Internship Computer Vision candidate, you should have a solid understanding of image processing, machine learning fundamentals, and proficiency in programming languages such as Python or C++. Familiarity with computer vision libraries like OpenCV, TensorFlow, or PyTorch, as well as coursework or certifications in artificial intelligence, is highly valued. Strong problem-solving skills, willingness to learn, and effective communication abilities are key soft skills that help interns excel. These competencies are essential for contributing to projects, integrating with teams, and adapting to the fast-evolving field of computer vision.

What are the most commonly searched types of Computer Vision jobs in Colorado? The most popular types of Computer Vision jobs in Colorado are:
What are popular job titles related to Internship Computer Vision jobs in Colorado? For Internship Computer Vision jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Internship Computer Vision jobs in Colorado look for? The top searched job categories for Internship Computer Vision jobs in Colorado are:
What cities in Colorado are hiring for Internship Computer Vision jobs? Cities in Colorado with the most Internship Computer Vision job openings:

Undergraduate/graduate intern - software and data infrastructure for autonomous thin film experiment

The National Renewable Energy Laboratory (NREL)

Golden, CO • On-site

Part-time

Medical, Dental, Vision, Retirement

Re-posted 4 days ago


Job description

Posting Title
Undergraduate/graduate intern - software and data infrastructure for autonomous thin film experimentation (Year-Round)
Location
CO - Golden
Position Type
Intern (Fixed Term)
Hours Per Week
25
Working at NLR
NLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development.
Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth.
At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being.
Job Description
NLR's Materials Design and Discovery group is seeking an undergraduate or graduate intern to support the development of digital infrastructure for autonomous semiconductor processing and characterization systems. In conjunction with the DOE's METALLIC platform (https://netl.doe.gov/metallic), we are developing a closed-loop autonomous experimentation platform that integrates scientific instrumentation, data management, artificial intelligence, and workflow orchestration to accelerate the discovery and optimization of advanced semiconductor thin films.
The successful candidate will work closely with a multi-disciplinary team to build the software and data infrastructure that enables autonomous operation of advanced semiconductor synthesis and characterization instruments.
Key responsibilities include
  • Develop and maintain Python software for scientific instrument control and laboratory automation.
  • Implement APIs, communication interfaces, and messaging systems connecting distributed experimental instruments and control computers.
  • Support real-time data exchange, data management, and provenance infrastructure for autonomous experimentation workflows.
  • Assist with integration, testing, debugging, deployment, and documentation of software systems.
  • Develop tools for monitoring, logging, and visualization of experimental data and system status.

Collaborate with multidisciplinary teams working in semiconductor processing, materials science, robotics, and artificial intelligence.
Basic Qualifications
Minimum of a 3.0 cumulative grade point average.
Undergraduate: Must be enrolled as a full-time student in a bachelor's degree program from an accredited institution.
Post Undergraduate: Earned a bachelor's degree within the past 12 months. Eligible for an internship period of up to one year.
Graduate: Must be enrolled as a full-time student in a master's degree program from an accredited institution.
Post Graduate: Earned a master's degree within the past 12 months. Eligible for an internship period of up to one year.
Graduate + PhD: Completed master's degree and enrolled as PhD student from an accredited institution.
Please Note:
• Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process.
• If selected for position, a letter of recommendation will be required as part of the hiring process.
• Must meet educational requirements prior to employment start date.
* Must meet educational requirements prior to employment start date.
Additional Required Qualifications
  • Experience programming in Python.
  • Familiarity with software development practices, including version control (e.g., Git).
  • Strong analytical and problem-solving skills.
  • Ability to work independently and as part of a multidisciplinary research team.
  • Strong written and verbal communication skills.
  • Ability to quickly learn new technologies and experimental systems.

Preferred Qualifications
  • Experience developing software for hardware interfacing, automation, laboratory systems, or scientific instrumentation.
  • Experience with communication standards, protocols, and messaging technologies used for instrument integration and distributed systems (e.g., OPC UA, Modbus, MQTT, TCP/IP, SCPI).
  • Experience with databases, data pipelines, or data management systems.
  • Experience with machine learning, optimization, computer vision, or autonomous experimentation systems.
  • Previous experience working with scientific instrumentation, laboratory automation, or experimental research environments.
  • Interest in autonomous systems, scientific computing, robotics, or laboratory automation.

Job Application Submission Window
The anticipated closing window for application submission is up to 30 days and may be extended as needed.
Annual Salary Range (based on full-time 40 hours per week)
Job Profile: / Annual Salary Range: $34,800 - $55,700
NLR takes into consideration a candidate's education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee's salary history will not be used in compensation decisions.
Benefits Summary
Benefits include medical, dental, and vision insurance; 403(b) Employee Savings Plan with employer match*; and sick leave (where required by law). NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement. Internships projected to be less than 20 hours per week are not eligible for medical, dental, or vision benefits.
* Based on eligibility rules
Badging Requirement
NLR is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation. Intern assignments extending beyond six months will be subject to this requirement.
Drug Free Workplace
NLR is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug.
If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn.
Submission Guidelines
Please note that in order to be considered an applicant for any position at NLR you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.
Reasonable Accommodations
E-Verify www.dhs.gov/E-Verify For information about right to work, click here for English or here for Spanish.
E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.