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Intern Vector Jobs in Texas (NOW HIRING)

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Understanding of vector databases (e.g., Pinecone, Milvus, Chroma, or pgvector). Backend & Concurrency (Java/Spring): * Strong experience with Spring Boot, Spring WebFlux (for reactive/streaming APIs ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Understanding of vector databases (e.g., Pinecone, Milvus, Chroma, or pgvector). Backend & Concurrency (Java/Spring): * Strong experience with Spring Boot, Spring WebFlux (for reactive/streaming APIs ...

Ericsson

Software Engineer AIML-Intern

Plano, TX · On-site

Vector search: Any kind of VectorDB * Docker, CI/CD basics; cloud basics; Kubernetes exposure * Basic Knowledge of Agentic Reasoning: Designing ReAct, Chain-of-Thought, Tree-of-Thoughts, and multi ...

Ericsson

Software Engineer AIML-Intern

Plano, TX · Hybrid

LangGraph / LangChain / LlamaIndex / CrewAI / AutoGen, tool-calling patterns and APIs Agent reliability: prompt injection awareness, guardrails, human-in-the-loop Vector search: Any kind of VectorDB ...

Jobs for Humanity

Transportation Interns

Austin, TX · On-site

... like Red Vector, LinkedIn Learning, technical team meetings, knowledge-sharing training sessions - Personalized training and career development plans with your manager - Funding for training ...

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Intern Vector information

What is an intern vector?

Intern Vector positions are typically internship roles focused on vector mathematics, data structures, or computational tasks involving vectors, often in fields like computer science, data analysis, or engineering. Interns in these roles may assist with coding, machine learning projects, or research that involves vector operations and algorithms. These internships provide hands-on experience, mentorship, and a chance to develop technical skills relevant to the industry. Intern Vectors help bridge academic knowledge with real-world applications, giving students a valuable entry point into their chosen fields.

What typical projects or tasks can an intern vector expect to work on during their internship?

As an Intern Vector, you can expect to support projects involving data analysis, algorithm development, and software testing, often under the guidance of senior engineers or data scientists. Your daily responsibilities may include assisting with coding, debugging, and documentation, as well as collaborating with team members during meetings or code reviews. This role provides valuable exposure to real-world technical challenges and the opportunity to contribute to meaningful projects, helping you build practical skills and professional relationships that can aid in your future career growth.

What are the key skills and qualifications needed to thrive as an intern vector, and why are they important?

To thrive as an Intern Vector, you typically need a background in mathematics, computer science, or engineering, supported by ongoing pursuit of a relevant degree. Familiarity with programming languages (such as Python or C++), data analysis tools, and version control systems like Git is often expected. Strong communication, teamwork, and adaptability help you integrate into professional environments and contribute effectively to projects. These skills and qualities are crucial for successfully applying academic knowledge in practical settings and for building a foundation for future career growth.

What is the difference between Intern Vector vs Intern Data Analyst?

AspectIntern VectorIntern Data Analyst
Required CredentialsBasic coursework in vector mathematics, computer science, or related fieldsCoursework in statistics, data analysis, or related fields
Work EnvironmentTech companies, research labs, or software development teamsBusiness, finance, healthcare, or marketing departments
Employer & Industry UsageUsed in fields involving computer graphics, simulations, or machine learningCommon in industries analyzing data for insights and decision-making
Search & Comparison IntentUnderstanding roles involving vector computations or graphicsRoles focused on data analysis and interpretation

Intern Vector typically involves working with mathematical vectors in tech or research settings, focusing on algorithms or graphics. Intern Data Analyst centers on analyzing data sets to generate insights, often in business or healthcare. While both are internships, their focus areas and skill requirements differ significantly, catering to distinct industry needs.

What are the most commonly searched types of Vector jobs in Texas?

The most popular types of Vector jobs in Texas are:

What are popular job titles related to Intern Vector jobs in Texas?

For Intern Vector jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Intern Vector jobs in Texas look for?

The top searched job categories for Intern Vector jobs in Texas are:

What cities in Texas are hiring for Intern Vector jobs?

Cities in Texas with the most Intern Vector job openings:

Intern Vector jobs near you
Infographic showing various Intern Vector job openings in Texas as of August 2026, with employment types broken down into 13% Internship, 1% As Needed, 63% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.

Software Engineering Intern

Copart, Inc.

Dallas, TX • On-site

Full-time

Re-posted 22 days ago

Copart rating

6.7

Company rating: 6.7 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

12th of 19 rated auctioneers

Job description

Copart, Inc. a technology leader and the premier online vehicle auction platform globally, with over 200 facilities located across the world, Copart links vehicle sellers to more than 750,000 buyers in over 190 countries. We believe in providing an unmatched experience, every day and everywhere, driven by our people, processes, and technology.
We are looking for passionate Software Engineering Interns with a strong interest in Artificial Intelligence to work on the development of our next-generation, AI-driven applications for our global expansion. In this role, you will work closely with Product Managers, AI Architects, and Tech Leads to understand requirements, integrate advanced AI capabilities, and build/modify scalable full-stack applications.
Core Duties & Responsibilities:
  • AI Integration & Development: Design and implement features powered by Large Language Models (LLMs), Generative AI, and Machine Learning APIs into our core web applications.
  • Full-Stack Engineering: Develop efficient, secure, and real-time applications, peer-review code, and document solutions within an agile-blended software environment.
  • AI Agent & Workflow Orchestration: Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows.
  • Collaboration: Communicate proactively with teammates, AI research, infrastructure, security, and QA teams to continuously improve processes and engineering excellence.
  • Concurrency & Scalability: Write highly concurrent, multi-threaded Java backend services capable of handling real-time AI inference and data streaming.

Required Skills:
  • Education: Bachelor's degree or higher (or currently pursuing) in Computer Science, Artificial Intelligence, Engineering, or a highly quantitative field.
  • AI & LLM Foundational Knowledge:
  • Hands-on experience or academic projects working with LLM APIs (OpenAI, Anthropic, Ollama, Hugging Face).
  • Familiarity with RAG (Retrieval-Augmented Generation) architectures and prompt engineering.
  • Understanding of vector databases (e.g., Pinecone, Milvus, Chroma, or pgvector).

Backend & Concurrency (Java/Spring):
  • Strong experience with Spring Boot, Spring WebFlux (for reactive/streaming APIs), and MVC.
  • Solid understanding of Core Java, multithreaded programming, and asynchronous task execution (essential for managing AI model call latency).
  • Experience writing Unit tests using JUnit and mocking frameworks.

Frontend (React/Modern JS):
  • Experience with JavaScript/TypeScript, HTML5, CSS, and modern client-side frameworks (preferably ReactJS or Next.js for building AI chat interfaces and dashboards).
  • Ability to work on real-time web applications (WebSockets, Server-Sent Events for streaming AI responses).

Soft Skills & Mindset:
  • Excellent problem-solving skills and a strong mathematical/logical foundation.
  • Innovative drive and a passion for quick mastery of emerging AI technologies, frameworks, and tools.
  • Self-motivated, naturally curious, and able to thrive in a fast-paced, client-focused environment.
  • Skilled in technical writing, including documenting AI system architectures and data flows.

Additional Skills (Nice to Haves):
  • AI Frameworks: Experience with AI orchestration frameworks like LangChain, LlamaIndex, or Spring AI.
  • Python: Familiarity with Python (the primary language for data science/AI scripting) in addition to Java.
  • Data & Databases:
  • Experience writing SQL and stored procedures.
  • Familiarity with relational databases (MySQL, PostgreSQL) and NoSQL databases.

DevOps & Deployment:
  • Experience with Git, Maven, and CI/CD tools (Jenkins, GitHub Actions).
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and Docker containers for deploying AI models/services.
  • Basic knowledge of Unix/Linux environments

#L1-MS1
At Copart, we are focused on harnessing the power of diversity, inclusion, and collaboration. By embracing diverse perspectives, we open doors to innovation and unleash the full potential of our team. We are dedicated to fostering a workplace where everyone feels appreciated, included, and inspired to grow and contribute meaningfully.
E-Verify Program Participant: Copart participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
  • E-verify Participation
  • Right to Work

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