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Internship Computer Vision Robotics Jobs in Colorado

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Internship Computer Vision Robotics information

What are the key skills and qualifications needed to thrive as an Internship Computer Vision Robotics, and why are they important?

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 are Internship Computer Vision Robotics positions?

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.

Is computer vision a dead field?

Computer vision is an active and rapidly evolving field with ongoing research and industry applications, especially in robotics and automation. Skills in machine learning, deep learning, and programming with tools like OpenCV and TensorFlow are in high demand for roles such as internship computer vision robotics. The field continues to grow as new techniques and hardware improve the capabilities of autonomous systems.

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 the big 4 internships?

The 'Big 4' internships typically refer to the internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These internships are highly competitive and often focus on areas such as consulting, audit, tax, and advisory services, providing valuable experience for students pursuing careers in finance, accounting, or consulting. For a computer vision robotics internship, relevant skills include programming, machine learning, and robotics tools, but the 'Big 4' are primarily known for their accounting and consulting internships.

How to get a robotics internship?

To secure a robotics internship, candidates should have a strong foundation in computer vision, robotics, and programming languages like Python or C++. Gaining experience through relevant coursework, personal projects, or competitions, and demonstrating knowledge of robotics frameworks such as ROS can improve chances. Applying to internships through university career centers or company websites and preparing a technical resume are also important steps.

What does a computer vision intern do?

A computer vision intern assists in developing and testing algorithms that enable computers to interpret visual data, such as images and videos. They often work with machine learning models, programming languages like Python or C++, and tools like OpenCV or TensorFlow, under the supervision of experienced engineers to support projects related to object detection, image processing, and autonomous systems.
What job categories do people searching Internship Computer Vision Robotics jobs in Colorado look for? The top searched job categories for Internship Computer Vision Robotics jobs in Colorado are:
What cities in Colorado are hiring for Internship Computer Vision Robotics jobs? Cities in Colorado with the most Internship Computer Vision Robotics job openings:
AI Agent Developer I

AI Agent Developer I

Sierra Nevada Corporation

Lone Tree, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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


Sierra Nevada Corporation rating

8.7

Company rating: 8.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

14th of 61 rated aerospace companies


Job description

The Agent Developer I is an entry-level role designed for earlycareer technologists ready to build the next generation of autonomous software systems. In this position, you will help design, develop, and deploy intelligent agents capable of multi-step reasoning, tool use, and decision-making with minimal human oversight. This role blends software engineering, systems design, and large language model (LLM) orchestration to create agents and multi-agent systems that can autonomously execute tasks, interact with external tools and APIs, and adapt to dynamic, realworld environments. It's an exciting opportunity for candidates passionate about emerging technologies who want to grow their technical skill set and contribute to impactful, mission-driven projects in a collaborative environment.As SNC's corporate team, we provide the company and its business areas with strategic direction and business support spanning executive management, finance and accounting, operations, human resources, legal, IT, information security, facilities, marketing, and communications.

Responsibilities:

  • Stay up-to-date with the latest advancements in AI/ML technologies by participating in training, workshops, and team discussions..
  • Develop and implement AI agents and multiagent systems capable of autonomously executing tasks, making contextdriven decisions, and interacting with external tools, APIs, databases, and external services.
  • Architect and orchestrate multistep, multiagent workflows, decomposing highlevel goals into executable tasks and ensuring seamless communication, reliable tool use, and efficient coordination across complex pipelines.
  • Implement logic for LLMdriven decisionmaking, including tool selection, tool chaining, fallback strategies, guardrails, and overall agent resilience.
  • Build and maintain evaluation and observability frameworks to measure agent accuracy, reliability, and efficiency, while continuously monitoring production behavior and improving system robustness.
  • Develop memory, retrieval, and RAG systems using vector databases or knowledge graphs to enhance agent context, reasoning, and longterm performance.
  • Deploy, scale, and manage agentbased solutions on cloud platforms such as AWS, Azure, and GCP.
  • Collaborate with crossfunctional teams-including product, domain experts, engineering, and security-to ensure agent capabilities align with business requirements and operational constraints.

Qualifications You Must Have:

  • Bachelor's degree in computer science, mathematics, applied statistics, various engineering disciplines, or related STEM discipline
  • 0-2 years of experience in cloud engineering or a related field.
  • Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 4 years of related experience is required.
  • Basic programming skills in Python, C++, C# or Java.
  • Understanding of foundational machine learning concepts and techniques.
  • Strong analytical and problem-solving skills.
  • Proficiency in prompt engineering and context design for reasoning and tool orchestration
  • API and tool integration skills (REST, GraphQL, microservices)Strong analytical and problem-solving skills.

Qualifications We Prefer:

  • Exposure to neural networks, signal processing, or computer vision frameworks.
  • Internship or project-based experience in AI, data science, or software development.
  • Familiarity with version control tools (e.g., Git).
  • Exposure to Agile or DevOps methodologies through coursework or internships.
  • Experience participating in team-based software development projects.
  • Ability to analyze small-to-moderate datasets using standard statistical or ML methods.

Essential Functions:

  • Work on a computer for extended hours performing coding, debugging, and testing.
  • Attend and contribute to team meetings and brainstorming sessions.
  • Travel occasionally to support testing or deployment efforts (up to 10%).

This posting will be open for application for a minimum of 5 days and may be extended based on business needs.

SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more.

IMPORTANT NOTICE:

To conform to U.S. Government international trade regulations, applicant must be a U.S. Citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State or U.S. Department of Commerce.

Learn more about the background check process for Security Clearances.

SNC is a global leader in aerospace and national security committed to moving the American Dream forward. We're known and respected for our mission and execution focus, agility, and disruptive and rapid innovation. We provide leading edge technologies and transformative solutions that support our nation's most critical security needs. If you are mission-focused, thrive in collaborative environments, and want to make our country stronger with state-of-the-art technologies that safeguard freedom, join our team!

SNC is an Equal Opportunity Employer committed to an environment free of discrimination.Employment decisions are made based on merit without regard to race, color, age, religion, sex, national origin, disability, status as a protected veteran or other characteristics protected by law.


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