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Simulation Engineer Jobs in Houston, TX (NOW HIRING)

METECS is seeking an entry-level Simulation Software Engineer to support NASA's simulation efforts as part of the Robotics, Simulations, and Graphics Support (RSGS) team. This role is ideal for ...

METECS is seeking an entry-level Simulation Software Engineer to support NASA's simulation efforts as part of the Robotics, Simulations, and Graphics Support (RSGS) team. This role is ideal for ...

POSITION SUMMARY: This simulator modeling engineer will be working within the Plant Services ... Previous experience with GSE simulation software (i.e., SimExec, JTopmeret, JElectric) * Previous ...

POSITION SUMMARY: This simulator modeling engineer will be working within the Plant Services ... Previous experience with GSE simulation software (i.e., SimExec, JTopmeret, JElectric) * Previous ...

POSITION SUMMARY: This simulator modeling engineer will be working within the Plant Services ... Previous experience with GSE simulation software (i.e., SimExec, JTopmeret, JElectric) * Previous ...

Showing results 41-60

Simulation Engineer information

See Houston, TX salary details

$37.2K

$117.8K

$181.9K

How much do simulation engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for simulation engineer in Houston, TX is $117,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,900.00 and $139,900.00 per year, depending on experience, location, and employer.

What is a simulation engineer?

A simulation engineer works on complex engineering projects to create simulations for testing the performance of proposed solutions. In this career, your job duties include developing simulation approaches for testing the project, monitoring the simulation in the test environment, and analyzing the results of the test. The qualifications needed for a career as a simulation engineer include a bachelor's degree in engineering. However, some employers prefer a master's degree. You also need strong analytical skills and experience working with experimental projects.

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

To thrive as a Simulation Engineer, you need a solid background in engineering principles, mathematics, and computer science, typically supported by a relevant degree. Proficiency in simulation software such as MATLAB, Simulink, ANSYS, or similar tools, along with knowledge of programming languages like Python or C++, is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret data and collaborate with multidisciplinary teams. These skills are crucial for accurately modeling complex systems, optimizing designs, and ensuring project success.

How does a simulation engineer typically collaborate with cross-functional teams during a project?

Simulation Engineers frequently work alongside design, testing, and manufacturing teams to ensure that virtual models accurately reflect real-world scenarios. They collaborate closely during the early stages to interpret project requirements and share simulation results to guide design decisions. Regular meetings and iterative feedback loops are common, helping to integrate simulation insights throughout the product development lifecycle. This collaborative environment not only enhances the quality of final products but also provides Simulation Engineers with exposure to diverse technical perspectives.

What is the difference between Simulation Engineer vs Mechanical Design Engineer?

AspectSimulation EngineerMechanical Design Engineer
Required CredentialsBachelor's or Master's in Mechanical, Aerospace, or related fields; proficiency in simulation softwareBachelor's or Master's in Mechanical Engineering; CAD software skills
Work EnvironmentDesign labs, simulation centers, R&D departmentsDesign offices, manufacturing facilities, prototyping labs
Industry UsageAutomotive, aerospace, electronics, manufacturingAutomotive, consumer products, machinery, aerospace
Common Search/ComparisonSimulation Engineer vs Mechanical Design Engineer

The main difference between a Simulation Engineer and a Mechanical Design Engineer lies in their focus areas. Simulation Engineers specialize in creating and analyzing virtual models to predict product performance, while Mechanical Design Engineers focus on designing and developing physical components and systems. Both roles often collaborate but serve distinct functions within engineering projects.

Are simulation engineers in demand?

Simulation engineers are in demand across industries such as aerospace, automotive, and defense, as companies increasingly rely on simulation tools like MATLAB, Simulink, and ANSYS for product development and testing. The role requires strong technical skills, knowledge of modeling and analysis, and often a background in engineering or computer science. Job growth is driven by technological advancements and the need for cost-effective, efficient testing methods.

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

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

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

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

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

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

Infographic showing various Simulation Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $117,843 per year, or $56.7 per hour.

Senior Software Engineer, Simulation & World Models

Bot Auto

Houston, TX โ€ข On-site, Remote

Full-time

Re-posted yesterday


Key responsibilities

  • Design and develop high-performance simulation infrastructure for autonomous vehicle development and validation

  • Build scalable systems for scenario generation, simulation execution, and evaluation

  • Build infrastructure supporting reinforcement learning and closed-loop evaluation workflows


Job description

About the Role

We are building the next generation of autonomous trucking technology to make freight transportation safer, more efficient, and more scalable.

Our Simulation team develops the virtual environments, testing infrastructure, and AI-driven simulation systems that enable rapid development and validation of autonomous driving software. We leverage large-scale simulation, synthetic data generation, reinforcement learning environments, and emerging world-model technologies to accelerate autonomy development.

We are seeking a software engineer with strong C++ expertise and a passion for building scalable simulation systems. This role offers the opportunity to work at the intersection of autonomous driving, simulation, robotics, and AI.

What You'll DoBuild Autonomous Driving Simulation Systems
  • Design and develop high-performance simulation infrastructure for autonomous vehicle development and validation
  • Build scalable systems for scenario generation, simulation execution, and evaluation
  • Develop simulation tooling used by Perception, Prediction, Planning, and Controls teams
  • Improve simulation realism, scalability, and operational efficiency
  • Collaborate across teams to support testing, validation, and development workflows
Develop AI-Driven Simulation Capabilities
  • Build infrastructure supporting reinforcement learning and closed-loop evaluation workflows
  • Develop systems for synthetic data generation and automated scenario creation
  • Collaborate with ML engineers and researchers to integrate learned models into simulation environments
  • Explore emerging approaches in world modeling, agent simulation, and Physical AI
Engineering Excellence
  • Write production-quality C++ and Python code
  • Participate in architecture and technical design discussions
  • Build reliable, maintainable, and well-tested systems
  • Contribute to code reviews and engineering best practices
  • Create clear technical documentation for systems and tools
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field
  • 3+ years of professional software development experience
  • Strong expertise in modern C++ (C++17 or newer preferred)
  • Experience designing and developing production software systems
  • Strong understanding of:
    • Multithreading and concurrency
    • Memory management
    • Performance optimization
    • Software architecture and system design
  • Experience working with simulation, robotics, gaming, or autonomous systems
Preferred Qualifications
  • Experience with simulation platforms such as:
    • CARLA
    • Isaac Sim
    • Unreal Engine
  • Familiarity with reinforcement learning concepts and workflows
  • Experience with agent-based simulation or closed-loop simulation systems
  • Experience building synthetic data generation pipelines
  • Experience with ROS or ROS2
  • Experience with cloud-native infrastructure such as Docker, Kubernetes, AWS, or GCP
  • Familiarity with machine learning infrastructure and large-scale data processing systems
Nice to Have
  • Experience in autonomous driving or robotics applications
  • Experience with multi-agent simulation systems
  • Familiarity with world models, generative simulation, or Physical AI technologies
  • Experience with sensor simulation, including camera, lidar, or radar
  • Experience with physics engines and real-time systems
  • Experience with CUDA, OpenGL, Vulkan, or graphics programming
What We're Looking For
  • Strong software engineering fundamentals
  • Systems-thinking mindset and attention to detail
  • Curiosity about simulation, AI, robotics, and autonomous systems
  • Ability to work across simulation, infrastructure, and machine learning domains
  • Comfortable working in a fast-paced environment with evolving technical challenges
  • Passion for building the next generation of intelligent simulation platforms