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Simulation Engineer Intern Jobs in Austin, TX (NOW HIRING)

ARM

Intern Program - Engineering Pathways

Austin, TX · On-site

$16.50 - $21.50/hr

Our intern program would suit candidates with interest across engineering - from the hardware ... Testing & Validation - Test and debug technology through simulation, automation, test environments ...

New

ARM

Intern Program - Engineering Pathways

Austin, TX · Hybrid

$16.50 - $21.50/hr

Our intern program would suit candidates with interest across engineering -- from the hardware ... Testing & Validation -- Test and debug technology through simulation, automation, test environments ...

New

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Simulation Engineer Intern information

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How much do simulation engineer intern jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for simulation engineer intern in Austin, TX is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $20.72 per hour, depending on experience, location, and employer.

What does a simulation engineer intern do?

A Simulation Engineer Intern assists in creating and running computer-based models to predict how systems or products will perform in real-world scenarios. They typically work under the guidance of senior engineers, helping to analyze data, optimize designs, and solve engineering problems through simulations. This role often involves using specialized software such as MATLAB, ANSYS, or Simulink, and requires strong analytical and problem-solving skills. Simulation Engineer Interns gain valuable experience in applying theoretical knowledge to practical engineering challenges.

What types of projects and tasks can a simulation engineer intern expect to work on during their internship?

As a Simulation Engineer Intern, you can expect to work on a variety of projects that involve creating, running, and analyzing simulations to support product development or research. Typical tasks may include building simulation models using specialized software, validating simulation results against real-world data, and preparing reports for engineering teams. Interns often collaborate closely with senior engineers and cross-functional teams, such as design or testing, to ensure simulations align with project goals. This hands-on experience not only sharpens your technical skills but also provides valuable insights into the collaborative nature of engineering projects and the role of simulation in the product lifecycle.

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

To thrive as a Simulation Engineer Intern, you need a solid background in engineering principles, mathematics, and physics, often supported by current enrollment in a relevant degree program. Familiarity with simulation software such as MATLAB, Simulink, or ANSYS, along with basic programming skills in languages like Python or C++, is typically required. Strong problem-solving abilities, attention to detail, and collaboration skills are essential soft skills for success in this role. These competencies are crucial for accurately modeling complex systems, analyzing results, and contributing effectively to engineering teams.

What is the difference between Simulation Engineer Intern vs Simulation Engineer?

AspectSimulation Engineer InternSimulation Engineer
Required CredentialsTypically pursuing a bachelor's or master's in engineering, computer science, or related fieldsBachelor's or higher degree in engineering, computer science, or related disciplines; often with some professional experience
Work EnvironmentInternship setting, often part-time or summer roles within engineering teamsFull-time professional role within engineering or R&D teams
Employer & Industry UsageUsed by companies in automotive, aerospace, electronics, and manufacturing sectors for training and developmentUsed in similar industries for product development, testing, and simulation tasks

The main difference between a Simulation Engineer Intern and a Simulation Engineer is experience level and responsibility. Interns are typically students gaining practical experience, while Simulation Engineers are full-time professionals responsible for designing and analyzing simulations to support product development.

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

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

What cities near Austin, TX are hiring for Simulation Engineer Intern jobs?

Cities near Austin, TX with the most Simulation Engineer Intern job openings:

Simulation Engineer Intern jobs near you
Infographic showing various Simulation Engineer Intern job openings in Austin, TX as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $39,821 per year, or $19.1 per hour.

Graduate Student Intern - Software Engineering

Cadence

Austin, TX

Part-time

Posted yesterday

New

Job description

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Responsibilities

  • Explore and apply AI/ML techniques, including Large Language Models (LLMs), generative AI (GenAI), and Graph Neural Networks (GNNs), to geometry, mesh, and graph-structured engineering data.
  • Research and develop AI-driven approaches for geometry modeling, mesh generation, and topology optimization workflows.
  • Prototype and evaluate AI-assisted methods for automating geometry creation and simulation model preparation.
  • Work with researchers and engineers to integrate AI technologies into engineering and physics-based applications, including thermal and structural simulation.
  • Analyze experimental results and improve the quality, robustness, and performance of AI-generated geometry and mesh models.
  • Investigate methods to reduce manual modeling effort and accelerate design and simulation workflows through AI automation.
  • Contribute to technical discussions, documentation, research reports, and prototype software development.

Basic Qualifications

  • Currently pursuing a Master's degree or PhD in Computer Science, Engineering, Applied Mathematics, or a related field.
  • Strong foundation in data structures, algorithms, and software engineering principles.
  • Programming experience in C/C++ and Python.
  • Familiarity with software development practices, including debugging, testing, and version control.
  • Strong analytical, problem-solving, collaboration, and communication skills.
  • Curiosity and enthusiasm for applying AI technologies to engineering problems.

Preferred Qualifications

  • Experience with AI/ML, including deep learning, LLMs, GenAI, or GNNs.
  • Familiarity with geometric modeling, mesh generation, retopology, computational geometry, or graph-based representations.
  • Coursework or research experience in computer graphics, computer-aided engineering (CAE), scientific computing, or simulation.
  • Exposure to CAD, CAE, EDA, or simulation-driven design applications.
  • Interest in topology optimization, geometry processing, performance optimization, parallel computing, or GPU acceleration.
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, or similar tools.
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