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Systems Engineer Intern Jobs in Dallas, TX (NOW HIRING)

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... The AI CoE focuses on building scalable, secure, and production-ready AI systems , establishing ...

AI Software Engineer Intern Location: Plano, TX Duration: 12 weeks Start Date: May 25, 2027 About ... This role involves executing test cases to verify the flow and function of an integrated system.

AI Software Engineer Intern Location: Plano, TX Duration: 12 weeks Start Date: May 25, 2027 About ... This role involves executing test cases to verify the flow and function of an integrated system.

Project Engineer Intern

Dallas, TX · On-site

$16.50 - $21.50/hr

... system Maintain expediting log Assist in project filing system maintenance Input data for labor ... Engineering, Construction Management, or Architectural degree completed or in progress, or ...

Electrical Engineer Intern - Fall 2027

Greenville, TX · On-site

$16.50 - $21.75/hr

Electrical Engineer Intern Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 ... Create system wiring diagrams, circuit breaker panels, control panels and other items using CAD ...

Electrical Engineer Intern - Fall 2027

Greenville, TX · On-site

$16.50 - $21.75/hr

Electrical Engineer Intern Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 ... Create system wiring diagrams, circuit breaker panels, control panels and other items using CAD ...

IE Engineer Intern

Mesquite, TX · On-site

$15.25 - $19.75/hr

The intern will work closely with experienced engineers on real engineering tasks such as ... Support manufacturing system and production line planning Assist with line layout, material flow ...

IE Engineer Intern

Mesquite, TX · On-site

$15.25 - $19.75/hr

The intern will work closely with experienced engineers on real engineering tasks such as ... Support manufacturing system and production line planning Assist with line layout, material flow ...

Veryable is looking for a Software Engineering intern to help the Platform Engineering team ... Understanding of RESTful APIs, microservices, and distributed systems. * Proficiency in backend ...

Veryable is looking for a Software Engineering intern to help the Platform Engineering team ... Understanding of RESTful APIs, microservices, and distributed systems. * Proficiency in backend ...

Showing results 21-40

Systems Engineer Intern information

See Dallas, TX salary details

$10

$17

$27

How much do systems engineer intern jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for systems engineer intern in Dallas, TX is $17.89, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $19.38 per hour, depending on experience, location, and employer.

What does a systems engineer intern do?

A Systems Engineer Intern assists in designing, analyzing, and improving technical systems and infrastructure. They work closely with senior engineers to troubleshoot issues, develop documentation, and optimize system performance. Interns may also gain exposure to automation, cloud computing, and networking technologies. This role provides hands-on experience with real-world engineering challenges, helping interns build problem-solving and technical skills.

What kinds of projects or tasks can I expect to work on as a systems engineer intern?

As a Systems Engineer Intern, you can expect to assist with system troubleshooting, automation scripting, performance monitoring, and the deployment or maintenance of IT infrastructure. Interns often work alongside experienced engineers to help implement new technologies, optimize current processes, and ensure system reliability. You may also help document system configurations and support ongoing projects, gaining practical experience in both independent and collaborative settings. This variety of tasks offers valuable exposure to real-world engineering challenges and a foundation for future career growth.

What are the key skills and qualifications needed to thrive as a systems engineer intern?

To thrive as a Systems Engineer Intern, you need a solid understanding of computer systems, networking concepts, and systems integration, often supported by coursework in computer science or engineering. Familiarity with operating systems (such as Linux and Windows), scripting languages (like Python or Bash), and version control tools (such as Git) is typically expected. Strong problem-solving abilities, effective communication, and a willingness to learn make candidates stand out. These skills and qualities are crucial for effectively supporting complex technical projects, adapting to new technologies, and collaborating with experienced engineers.

What are the most commonly searched types of Systems Engineer jobs in Dallas, TX?

The most popular types of Systems Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Systems Engineer Intern jobs?

Cities near Dallas, TX with the most Systems Engineer Intern job openings:

Infographic showing various Systems Engineer Intern job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $39,742 per year, or $19.1 per hour.

AI Engineer Intern - USA

Black Box

Plano, TX • On-site

Part-time

Re-posted 10 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.