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Prototype Engineer Intern Jobs in Texas (NOW HIRING)

TrinityRail

Data Analytics Intern

Dallas, TX · On-site

... prototypes for handoff. * Produce code and deployable artifacts using AI-assisted generation. * Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain in ...

PepsiCo

2027 Summer Intern: R&D (Undergrad and Grad)

Plano, TX

$21.09 - $44.40/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

As a R&D Engineer (product or process engineer), you will collaborate with cross functional teams ... generation, prototype development, and product optimization and production start-up across a ...

New

Aalo Atomics

AI Solutions Architect

Austin, TX · On-site

$117 - $143/hr

  • Medical

  • Dental

  • Vision

  • PTO

About the role We're hiring an AI Solutions Engineer to work directly with internal stakeholders ... rough prototypes into working systems. Your job is to work closely with stakeholders and the ...

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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.
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Infographic showing various Prototype Engineer Intern job openings in Texas as of August 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution.

Data Analytics Intern

Trinity Logistics Group

Dallas, TX

Internship

Re-posted 13 days ago

Job description

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX. This position will focus on building, deploying, and scaling agentic AI applications and automated workflows across the enterprise. You will contribute to producing AI-first solutions using large language models, agent frameworks, and AI-assisted coding to deliver deployable apps, agents, automated workflows, and AI orchestration.

This role will provide valuable experience working with state-of-the-art enterprise platforms (Databricks and Palantir Foundry) and AI tools (pro licenses for Codex and Claude Code). The role offers hands-on mentorship from senior analytics professionals, exposure to production data and governance practices, and high visibility to business owners giving you real ownership of high-impact projects.

What You'll Do:

  • Design, prototype, and deliver agentic systems that plan and execute multi-step business tasks.
  • Build automated workflows and connectors that integrate internal systems and APIs.
  • Implement LLM-based agents (prompting, tool-calling, memory, monitoring) and harden prototypes for handoff.
  • Produce code and deployable artifacts using AI-assisted generation.
  • Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain in-dept knowledge of business problems and likely solutions.
  • Demo results and deliver concise handoff docs, runbooks, and impact metrics.
     

What You'll Have:

  • Master's or PhD candidate or recent graduate in Data Science, Machine Learning, Computer Science, Applied Math, Statistics, Operations Research, or similar quantitative field.
  • Demonstrable experience building AI prototypes or agentic projects (coursework, research, personal projects, or employment).
  • Generate, test, and iterate code (examples: Python, JavaScript, YAML) using an IDE (VS Code, JetBrains, etc.) with AI-assisted coding (GitHub Copilot, OpenAI Codex,
  • Claude Code, Cursor, or similar). Manual coding fluency is helpful but not mandatory.
  • Familiarity with SQL and cloud data platforms (Databricks, Azure, AWS, or equivalent).
  • Strong problem solving and communication skills; ability to present technical work to nontechnical stakeholders.

Preferred / Nice-to-Have

  • Practical experience with model deployment and monitoring basics (packaging/deploying prototypes, logging/observability, basic cost and drift checks).
  • Experience building or working with data/workflow pipelines or orchestration tools or familiarity with the concepts of scheduling and task orchestration.
  • Experience working with unstructured text and retrieval approaches (RAG or index + LLM patterns) for document/question answering.
  • Comfortable integrating services via REST APIs and using secure authentication patterns.

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