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Internship Computer Science Graduate Jobs in Houston, TX

Danaher

Software Automation Internships

Houston, TX · On-site

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

Dashiell Corportaion

Graduate Civil Engineer

Houston, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Prior internship and/or related work experience in the power field is preferred. Possess skills in ... Ability to sit for extended periods during computer-based work. * Ability to stand and walk ...

Chevron

2026-2027 Earth Science Intern

Houston, TX

$10K/mo

  • Medical

  • Retirement

Interns will be provided guidance by a supervisor and a technical mentor. We encourage the ... graduate degree experience in geology, geophysics, geological engineering, or related fields.

Danaher

Software Engineer Internships

Houston, TX · On-site

... in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship ...

Danaher

Software Engineer Internships

The Woodlands, TX · On-site

... in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students who have completed 3+ years of coursework by the internship ...

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All JobsComputer Science Graduate JobsInternship Computer Science Graduate JobsInternship Computer Science Graduate Jobs in Houston, TX

Internship Computer Science Graduate information

See Houston, TX salary details

$19.9K

$57.5K

$116.3K

How much do internship computer science graduate jobs pay per year?

As of Aug 20, 2026, the average yearly pay for internship computer science graduate in Houston, TX is $57,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,737.00 and $61,060.00 per year, depending on experience, location, and employer.

What does an internship computer science graduate do?

An Internship Computer Science Graduate typically works in a temporary position within a company, applying their academic knowledge to real-world projects. Their responsibilities can include assisting with software development, testing code, troubleshooting technical issues, and collaborating with teams on various IT or computer science-related tasks. This role helps graduates gain practical experience, build professional networks, and enhance their skills for future full-time employment in the tech industry.

What are the key skills and qualifications needed to thrive as an internship computer science graduate?

To thrive as an Internship Computer Science Graduate, you need a solid understanding of programming languages (such as Python, Java, or C++), data structures, algorithms, and typically a bachelor's degree or enrollment in a computer science program. Familiarity with version control systems like Git, integrated development environments (IDEs), and issue tracking tools is often expected. Strong problem-solving abilities, eagerness to learn, and effective teamwork and communication skills help you stand out. These competencies are crucial for contributing to real-world projects, adapting to fast-changing technologies, and collaborating within professional engineering teams.

What types of projects and tasks can I expect to work on during an internship computer science graduate position?

As a Computer Science graduate intern, you'll typically work on real-world projects such as software development, bug fixing, testing, or assisting with research and data analysis. Many internships offer opportunities to contribute to codebases, participate in code reviews, and collaborate closely with experienced developers, designers, and product managers. The tasks assigned are designed to build your technical and problem-solving skills while exposing you to industry-standard tools and workflows. You'll likely have regular check-ins with mentors and team members to support your learning and growth throughout the internship.

What is the difference between Internship Computer Science Graduate vs Entry-Level Software Developer?

AspectInternship Computer Science GraduateEntry-Level Software Developer
Required CredentialsRecent CS degree or in progressBachelor's in CS or related field
Work EnvironmentTemporary, training-focused, often in tech companies or startupsFull-time, ongoing role in software development teams
Employer & Industry UsageInternships offered by tech firms, startups, and universitiesEmployers seeking new graduates for entry-level positions

In summary, an Internship Computer Science Graduate is a temporary, training-focused position aimed at gaining practical experience, while an Entry-Level Software Developer is a full-time role with ongoing responsibilities in software development. Internships often serve as a stepping stone to full-time positions like software developer roles.

What are the most commonly searched types of Computer Science Graduate jobs in Houston, TX?

The most popular types of Computer Science Graduate jobs in Houston, TX are:

What cities near Houston, TX are hiring for Internship Computer Science Graduate jobs?

Cities near Houston, TX with the most Internship Computer Science Graduate job openings:

Internship Computer Science Graduate jobs near you
Infographic showing various Internship Computer Science Graduate job openings in Houston, TX as of July 2026, with employment types broken down into 6% Internship, 62% Full Time, 13% Part Time, 13% Temporary, and 6% Nights. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $57,526 per year, or $27.7 per hour.

Algorithm Engineer, Deep Learning & Vision (New Grad)

Bot Auto

Houston, TX

Full-time

Posted 23 days ago

Job description

Company Introduction

At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.

Key Responsibilities
  • Model Implementation & Iteration: Participate in the development, training, and optimization of state-of-the-art deep learning models for autonomous driving, with a focus on end-to-end architectures, including perception, online mapping, and end-to-end planning.
  • Full Lifecycle Execution: Engage in the entire machine learning workflow under the guidance of domain experts, spanning from data curation and data analysis to model experimentation, hyperparameter tuning, and rigorous performance metric verification.
  • Cross-Functional Collaboration: Partner with simulation, infrastructure, and downstream planning/control teams to deploy, evaluate, and integrate machine learning components into our production pipeline for autonomous trucks.
  • Literature Tracking: Stay abreast of the latest research breakthroughs in computer vision and generative AI, and actively bench-test promising SOTA methods to solve real-world corner cases.
How You'll Grow

This matters as much to us as what you'll ship.

  • You get a real mentor. Every engineer is paired with senior-level engineers developing you. Mentorship here is weighted toward design and judgment: how to frame a problem, what to build and why, how to tell whether a solution is actually right.
  • We promote fast. Managers are expected to push engineers to attempt work above their current level, and to promote in the next cycle when they deliver it.
QualificationsRequired:
  • Education: A Bachelor's, Master's, or Ph.D. (including upcoming graduates) in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, Physics, or a related quantitative field.
  • You have trained neural networks. Coursework, research, personal projects, open-source work, and internships all count. We care that you have actually run the loop: built a model, trained it, found out why it was not working, and fixed it.
  • Core Knowledge: Strong theoretical foundation in machine learning and deep learning, with a solid understanding of modern architectures (e.g., Transformers, CNNs, Graphs).
  • Technical Stack: Proficiency in Python and deep learning frameworks such as PyTorch, along with strong software engineering fundamentals (data structures, algorithms, and clean coding practices).
  • Attributes: High self-motivation, strong analytical and problem-solving skills, a fast learner in a high-velocity startup environment, and a strong team-player mindset.
Preferred:
  • Computer vision. Research or projects in computer vision, and particularly in 3D.
  • Specific Research Directions: Academic thesis or deeply focused research experience in one or more of the following domains:
    • Computer Vision (2D or 3D)
    • Online Mapping, Vectorization, or Visual SLAM
    • Prediction and Behavioral Modeling
  • Academic Achievements: A track record of research publications in machine learning, computer vision, or robotics conferences/journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICRA, IROS).
  • Engineering Plus: Hands-on experience with model deployment, quantization, distillation, or inference acceleration tools (e.g., TensorRT, ONNX, CUDA, C++).
  • Industry Exposure: Prior internship experience within the autonomous driving industry or advanced robotics labs.

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