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Prototype Engineer Intern Jobs in Texas (NOW HIRING)

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Ability to translate AI concepts into working prototypes or production-ready solutions . Required ...

CardioQuip

Engineering Intern

College Station, TX · On-site

$17.50 - $25/hr

In addition, under the supervision of an R&D Engineer, interns will also contribute in the design ... prototypes to manufacturing * Ensure that our current and future processes are compliant and ...

CardioQuip

Engineering Intern

College Station, TX

$17.50 - $25/hr

In addition, under the supervision of an R&D Engineer, interns will also contribute in the design ... prototypes to manufacturing * Ensure that our current and future processes are compliant and ...

CardioQuip

Engineering Intern

College Station, TX · On-site

$17.50 - $25/hr

In addition, under the supervision of an R&D Engineer, interns will also contribute in the design ... prototypes to manufacturing * Ensure that our current and future processes are compliant and ...

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... engineering with AI components . * Ability to translate AI concepts into working prototypes or ...

AAON, Inc.

Engineering Project Manager Intern

Longview, TX · On-site

$15 - $19.50/hr

Occasionally lift up to 25 lbs (e.g., prototypes or testing equipment). * Movement between office, lab, and manufacturing floor environments. Work Environment: The Engineering Intern will work in a ...

AAON, Inc.

Engineering Project Manager Intern

Longview, TX

$15 - $19.50/hr

Occasionally lift up to 25 lbs (e.g., prototypes or testing equipment). * Movement between office, lab, and manufacturing floor environments. Work Environment: The Engineering Intern will work in a ...

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Prototype Engineer Intern information

What is the difference between Prototype Engineer Intern vs Mechanical Engineering Intern?

AspectPrototype Engineer InternMechanical Engineering Intern
Required CredentialsEnrolled in Mechanical, Electrical, or related engineering programsEnrolled in Mechanical Engineering or related programs
Work EnvironmentHands-on prototyping, product development labs, manufacturing settingsDesign, analysis, testing in labs or office settings
Industry UsageProduct design, hardware development, R&D teamsDesign, analysis, manufacturing, and testing teams

Prototype Engineer Interns focus on creating and testing physical prototypes, often working closely with hardware and manufacturing teams. Mechanical Engineering Interns typically engage in design, analysis, and testing of mechanical systems. While both roles require engineering knowledge and may overlap in industry settings, Prototype Engineer Interns are more hands-on with prototyping processes, whereas Mechanical Engineering Interns may have broader design responsibilities.

What are the key skills and qualifications needed to thrive as a Prototype Engineer Intern, and why are they important?

To thrive as a Prototype Engineer Intern, you need a solid background in engineering fundamentals, hands-on fabrication skills, and experience with prototyping processes, typically supported by coursework in mechanical or electrical engineering. Familiarity with CAD software (such as SolidWorks or AutoCAD), 3D printing technology, and basic laboratory or workshop tools is often required. Strong problem-solving abilities, attention to detail, and effective communication help interns excel in collaborative and fast-paced development environments. These skills are crucial for efficiently transforming design concepts into functional prototypes that support innovation and product development.

What types of projects and responsibilities can a Prototype Engineer Intern expect during their internship?

As a Prototype Engineer Intern, you can expect to work on hands-on projects that may include designing, building, and testing prototypes for new products or features. You'll likely collaborate closely with engineers, designers, and sometimes manufacturing teams to bring concepts to life quickly. Typical responsibilities include CAD modeling, assembling physical prototypes, running experiments, and documenting results. This role often requires adaptability and problem-solving, as you'll need to iterate designs based on feedback and test outcomes. It's a great opportunity to gain experience with rapid prototyping tools and processes while working in a collaborative, innovative environment.

What does a Prototype Engineer Intern do?

A Prototype Engineer Intern assists in designing, building, and testing early versions of products or components. They work closely with engineering teams to turn concepts into physical models, often using tools like 3D printers, CNC machines, and hand tools. Their role may involve troubleshooting, documenting results, and suggesting improvements based on testing. This internship provides hands-on experience in the product development process and helps interns develop practical engineering skills.
What cities in Texas are hiring for Prototype Engineer Intern jobs? Cities in Texas with the most Prototype Engineer Intern job openings:
Prototype Engineer Intern jobs near you
AI Engineer Intern - USA

AI Engineer Intern - USA

Black Box

Plano, TX • On-site

Part-time

Posted 29 days ago

Job description


AI Engineer Intern - AI Center of Excellence (CoE)
Location: Plano, Texas, USA
Internship Duration: 6-12 months (12 months preferred)
Company: Black Box
Eligibility: Master's students with at least 6 months remaining before graduation and prior professional experience in applied AI
Company Overview
Black Box Network Services is a leading global communications system integrator specializing in designing, sourcing, implementing, and managing complex technology solutions. As part of our strategic transformation, Black Box is expanding its AI Center of Excellence (CoE) to deliver enterprise-grade AI solutions across multiple business domains.
The AI CoE focuses on building scalable, secure, and production-ready AI systems, establishing best practices for enterprise AI adoption, and integrating AI capabilities into core business platforms.
Role Summary
As an AI Engineer Intern in the AI Center of Excellence (CoE), you will contribute to the design, development, and integration of applied AI solutions using pre-trained Large Language Models (LLMs), traditional machine learning techniques, and deterministic approaches.
This role offers hands-on experience building enterprise-grade Generative AI solutions across backend services, data pipelines, orchestration, and user-facing applications. Working closely with experienced AI engineers, you will contribute to real-world AI use cases integrated with platforms such as ServiceNow, SAP, Salesforce, and Azure services.
This internship is designed to strengthen applied AI engineering skills and prepare candidates for conversion into a full-time AI Engineer role.
Eligibility Requirements
  • Currently pursuing a Master's degree in Engineering or a related field (Computer Science, Artificial Intelligence, Data Science, or similar).
  • Must have at least 6 months remaining to complete the Master's program at the time of joining.
  • Must have a minimum of 2+ years of relevant professional experience between Bachelor's and Master's programs.
  • Prior experience must include applied AI / Machine Learning, with hands-on exposure to Generative AI use cases.
  • Available for a full-time, on-site internship for a minimum of 6-12 months (depending on academic program constraints).
Key Responsibilities
AI & Generative AI Development
  • Build and integrate AI solutions using pre-trained LLMs for conversational AI, summarization, and enterprise knowledge retrieval.
  • Implement RAG-based architectures connecting LLMs with structured and unstructured enterprise data.
  • Develop and test AI agents, traditional ML models, and deterministic logic for real-world use cases.
  • Contribute to AI orchestration using LangChain and workflow automation using n8n.
Full-Stack & Enterprise Integration
  • Build AI-enabled user interfaces and integrate them with backend services.
  • Develop and maintain backend APIs and services.
  • Integrate AI solutions with enterprise platforms such as ServiceNow, SAP, Salesforce, and Azure services.
Data, Testing & Deployment
  • Build and maintain data pipelines, including preprocessing and quality checks.
  • Support testing, debugging, deployment, and monitoring of AI services on Azure.
  • Document AI workflows, integrations, and solution lifecycle updates.
Learning & Collaboration
  • Collaborate with AI, data, and platform teams to deliver production-ready AI solutions.
  • Continuously learn and apply best practices in Generative AI, RAG patterns, and enterprise AI systems.
Required Technical Skills
  • Programming: Strong working knowledge of Python.
  • Applied AI / GenAI: Hands-on experience building or integrating ML or Generative AI solutions.
  • Generative AI: Practical experience with LLMs, prompt engineering, and/or RAG-based architectures.
  • Backend Development: Experience building APIs using FastAPI, Flask, or Node.js (TypeScript).
  • Frontend Development: Working experience building React-based user interfaces and integrating them with backend APIs.
  • Data Handling: Experience working with structured and unstructured data, including basic preprocessing or ETL.
  • APIs & Cloud: Experience consuming REST APIs and familiarity with cloud platforms (Azure preferred).
Required Prior Professional Experience
  • 2+ years of relevant professional experience between Bachelor's and Master's programs.
  • Experience in applied AI, machine learning, or software engineering with AI components.
  • Ability to translate AI concepts into working prototypes or production-ready solutions.
Required Soft Skills
  • Strong learning mindset, ownership, and clear communication with a structured problem-solving approach.
Preferred Skills / Experience
  • Familiarity with NLP concepts and foundational Generative AI models.
  • Awareness of responsible AI and basic AI governance concepts.
  • Exposure to Microsoft Power Platform or low-code automation tools.
About Black Box
Black Box is a leading technology solutions provider focused on accelerating customer success through innovation, ownership, transparency, and collaboration. With over 2,500 team members across 24 countries, Black Box delivers high-value solutions globally and is a wholly-owned subsidiary of AGC Networks.
Black Box is an equal opportunity employer.

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