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Computer Engineer Intern Jobs in Texas (NOW HIRING)

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Currently pursuing a Master's degree in Engineering or a related field (Computer Science ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Copart is looking for JavaScript/Frontend Developer Intern. We're seeking a passionate, opinionated ... Must be pursuing a Master's Degree in Computer Science or other related field with a minimum GPA of ...

Four Hands

Quality Engineer Intern

Austin, TX · On-site

$16.50 - $21.50/hr

Currently pursuing a degree in Industrial Design, Engineering, Environmental Science, or a related ... Familiarity with 3D modeling software such as SolidWorks, CAD, or Rhino * Basic knowledge of LEAN ...

Four Hands

Quality Engineer Intern

Austin, TX

Currently pursuing a degree in Industrial Design, Engineering, Environmental Science, or a related ... Familiarity with 3D modeling software such as SolidWorks, CAD, or Rhino * Basic knowledge of LEAN ...

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How much do computer engineer intern jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for computer engineer intern in Texas is $23.68, according to ZipRecruiter salary data. Most workers in this role earn between $19.28 and $26.88 per hour, depending on experience, location, and employer.

What is a Computer Engineer Intern job?

A Computer Engineer Intern is a temporary position where students or recent graduates gain hands-on experience in computer engineering. Interns typically assist with hardware and software development, debugging, testing, and system design under the supervision of experienced engineers. They may work on tasks such as coding, circuit design, or improving system performance. This role helps interns develop technical skills, problem-solving abilities, and industry knowledge. It also provides an opportunity to network and potentially secure a full-time job after graduation.

What are the key skills and qualifications needed to thrive in the Computer Engineer Intern position, and why are they important?

To thrive as a Computer Engineer Intern, you need a strong grasp of programming languages (such as C++, Python, or Java), knowledge of computer architecture, and current enrollment in or completion of a relevant degree program. Experience using development environments, version control systems like Git, and an understanding of hardware-software integration are typical requirements. Strong problem-solving abilities, effective communication, and a willingness to learn make candidates stand out in this role. These skills ensure you can contribute to technical projects, collaborate seamlessly with your team, and adapt to the fast-paced environment of computer engineering.

What kinds of projects and tasks can I expect to work on as a Computer Engineer Intern?

As a Computer Engineer Intern, you can expect to assist with tasks such as debugging code, developing and testing software or hardware components, and helping with system integration projects. You may also support senior engineers by conducting research, documenting technical processes, or contributing to prototype builds and experiments. Interns often participate in team meetings and may be asked to present findings or project updates. This hands-on experience provides valuable exposure to real-world engineering workflows and helps you build both technical and professional skills.

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Computer Engineer Intern jobs near you
AI Intern - Dallas, TX

AI Intern - Dallas, TX

Black Box

Plano, TX • On-site

Part-time

Posted 8 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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