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Simulation Internship Jobs in Houston, TX (NOW HIRING)

Perform and/or evaluate simulations, calculations, etc. to test and validate designs, documentation ... Minimum of 1-5 years of mechanical design experience, internship can be counted * Mechanical Design ...

Perform and/or evaluate simulations, calculations, etc. to test and validate designs, documentation ... Minimum of 1-5 years of mechanical design experience, internship can be counted * Mechanical Design ...

Perform and/or evaluate simulations, calculations, etc. to test and validate designs, documentation ... Minimum of 1-5 years of mechanical design experience, internship can be counted * Mechanical Design ...

Requirements: * Bachelors degree in Chemical Engineering with internship or other experience ... Knowledge of process simulation software such as Aspen Plus/HYSYS. * Possess skills to be able to ...

Interns will be exposed to real projects and challenges in a dynamic company environment designed ... Simulates and tests suggestions made for performance * Completes required documentation to ...

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Simulation Internship information

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How much do simulation internship jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for simulation internship in Houston, TX is $14.84, according to ZipRecruiter salary data. Most workers in this role earn between $11.92 and $16.78 per hour, depending on experience, location, and employer.

What is a simulation internship?

A Simulation Internship is a temporary role, often for students or recent graduates, where individuals gain hands-on experience working with simulation technologies and software. Interns may help develop, test, or analyze virtual models that mimic real-world systems in fields like engineering, healthcare, or computer science. This experience allows interns to apply theoretical knowledge, learn industry-standard tools, and collaborate with professionals on real projects, helping them prepare for future careers in simulation or related areas.

What types of projects or tasks can I expect to work on during a simulation internship?

As a Simulation Intern, you'll typically work on projects involving the design, development, and analysis of simulation models for products, systems, or processes. Your daily tasks may include running simulation software, collecting and interpreting data, and collaborating with engineers or project managers to refine models based on real-world feedback. Interns often contribute to team meetings, present findings, and gain hands-on experience with industry-standard tools. This role provides a valuable opportunity to develop problem-solving skills, technical expertise, and a deeper understanding of how simulation informs decision-making in engineering or research-driven environments.

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

To thrive as a Simulation Intern, you generally need a background in engineering, computer science, or a related field, along with foundational knowledge of modeling and simulation principles. Familiarity with simulation software like MATLAB, Simulink, or Arena, and experience with programming languages such as Python or C++ are typically required. Strong analytical thinking, attention to detail, teamwork, and effective communication skills make candidates stand out in this role. These competencies are crucial for accurately developing, testing, and interpreting simulation models to solve real-world problems and support project goals.

What is the difference between Simulation Internship vs Simulation Engineer?

AspectSimulation InternshipSimulation Engineer
Required CredentialsTypically pursuing or recent graduate in engineering, computer science, or related fieldBachelor's or master's degree in engineering, computer science, or related field; professional experience often preferred
Work EnvironmentInternship programs, often in corporate R&D or engineering departmentsFull-time engineering teams in industries like automotive, aerospace, or manufacturing
Employer & Industry UsageUsed by companies for training, skill development, and project supportUsed for designing, analyzing, and optimizing systems through simulation
Common Search & Comparison IntentUnderstanding entry-level opportunities and learning pathsUnderstanding career progression and job responsibilities

The main difference between a Simulation Internship and a Simulation Engineer lies in experience level and responsibilities. Internships are entry-level positions aimed at learning and gaining experience, while Simulation Engineers are full-time professionals responsible for developing and applying simulation models in industry projects.

Is a simulation internship worth it?

A simulation internship provides hands-on experience with modeling software and industry-specific tools, which can enhance technical skills and improve employability. It offers exposure to real-world projects and networking opportunities, making it valuable for those pursuing careers in engineering, gaming, or data analysis. The value depends on individual goals and the quality of the internship program.

What are the most commonly searched types of Simulation jobs in Houston, TX?

The most popular types of Simulation jobs in Houston, TX are:

What job categories do people searching Simulation Internship jobs in Houston, TX look for?

The top searched job categories for Simulation Internship jobs in Houston, TX are:

What cities near Houston, TX are hiring for Simulation Internship jobs?

Cities near Houston, TX with the most Simulation Internship job openings:

Infographic showing various Simulation Internship job openings in Houston, TX as of August 2026, with employment types broken down into 5% Internship, 84% Full Time, and 11% Part Time. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $30,877 per year, or $14.8 per hour.

Software Engineer, Autonomous Driving Platforms

Bot Auto

Houston, TX

Full-time

Posted 29 days ago


Job description

About the Role

At Bot Auto, we are revolutionizing the transportation of goods through autonomous trucking. With the agility of a startup and the experience of a team that has achieved numerous industry firsts, we build technology that connects autonomous vehicles, cloud infrastructure, data, machine learning, and real-world fleet operations.

We are looking for curious and motivated software engineers to help build the systems that make autonomous trucking possible.

Depending on your interests, experience, and business needs, you may work on one or more areas, including:

  • Full-stack and operational applications
  • Distributed systems and backend services
  • Developer and core infrastructure platforms
  • Data processing and workflow orchestration
  • Machine learning infrastructure
  • Simulation and evaluation applications
  • Build, release, and deployment tooling

You do not need prior experience in every area. We are looking for engineers with strong fundamentals, an eagerness to learn, and the ability to solve practical problems collaboratively. You will work alongside experienced engineers and develop expertise through real projects that directly support our autonomous vehicles and operations.

Key Responsibilities
  • Design, implement, test, and maintain software features under the guidance of experienced engineers.
  • Build user-facing applications, backend services, APIs, data pipelines, or internal engineering tools.
  • Develop responsive web interfaces using technologies such as React and TypeScript.
  • Build backend services and workflow automation, primarily using Python and, where appropriate, Go.
  • Work with databases, event-driven systems, and real-time data to connect applications, infrastructure, and autonomous vehicle operations.
  • Contribute to platforms supporting areas such as fleet operations, simulation, machine learning, data processing, CI/CD, and software deployment.
  • Debug software issues and help improve system reliability, performance, usability, and observability.
  • Write clean, maintainable, well-tested, and well-documented code.
  • Participate in code reviews, technical discussions, testing, deployment, and production support.
  • Collaborate with engineers, product managers, autonomy teams, and operations teams to translate real-world needs into dependable software.
  • Learn new technologies and engineering practices as your responsibilities grow.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • 0-3 years of professional software engineering experience. New graduates with strong academic, internship, open-source, or personal project experience are encouraged to apply.
  • Programming proficiency in at least one general-purpose language, preferably Python, Go, JavaScript/TypeScript, Java, or C++.
  • Solid understanding of software engineering fundamentals, including data structures, algorithms, debugging, testing, and source control.
  • Ability to break down problems, learn unfamiliar systems, and deliver well-scoped work.
  • Strong written and verbal communication skills.
  • Collaborative mindset, attention to detail, and willingness to receive and apply feedback.
Preferred Qualifications

Experience in one or more of the following areas is helpful but not required:

  • Full-stack web development using React, TypeScript, and modern frontend tooling.
  • Backend service or API development using Python or Go.
  • SQL or NoSQL databases.
  • Distributed systems, asynchronous processing, or event-driven architectures.
  • Data processing, batch workflows, or workflow orchestration systems.
  • Machine learning pipelines, model evaluation, experiment tracking, annotation, or dataset management.
  • Simulation, visualization, geospatial applications, or real-time operational interfaces.
  • Docker, Kubernetes, or cloud platforms such as AWS.
  • CI/CD systems, build tools, package management, or developer productivity tooling.
  • Streaming and messaging technologies such as NATS, Kafka, MQTT, or WebSockets.
  • Observability tools such as metrics, logging, tracing, dashboards, or alerting.
  • Autonomous vehicles, robotics, transportation, logistics, or other systems that interact with the physical world.
What We Value
  • Strong engineering fundamentals over familiarity with a particular technology stack.
  • Demonstrated ability to build, debug, or improve working software.
  • Curiosity about how systems work across application, infrastructure, and operational boundaries.
  • Ownership of your work while knowing when to ask for help.
  • Thoughtful consideration of reliability, usability, maintainability, and real-world impact.
  • Interest in growing into a versatile engineer who can contribute across multiple technical domains.

At Bot Auto, engineers are not limited to isolated tasks. You will contribute to production systems, learn from experienced teammates, and have opportunities to explore different engineering areas as the company and your career grow.