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Modeling Simulation Engineer Jobs in Tomball, TX

Senior Developer EMS

Houston, TX ยท On-site +1

$52 - $68.75/hr

No The Opportunity Hitachi Energy's Grid Automation business is looking for an Application Engineer ... Apply power system studies, modeling, simulation, optimization, and numerical methods to ...

Senior Developer EMS

Houston, TX ยท On-site

$52 - $68.75/hr

No The Opportunity Hitachi Energy's Grid Automation business is looking for an Application Engineer ... Apply power system studies, modeling, simulation, optimization, and numerical methods to ...

Electrical and Controls Engineer

Houston, TX ยท On-site

$73K - $98K/yr

Participate in the testing, modeling, simulation, and analysis of electromechanical control system and components * Analysis of system data to determine control system effectiveness * Define and ...

This leader drives analytical excellence across the full engineering lifecycle requirements, modeling, simulation, verification, validation, and certification; while ensuring strict compliance with ...

Director, Engineering Analysis

Houston, TX ยท On-site

$180 - $240/hr

This leader drives analytical excellence across the full engineering lifecycle requirements, modeling, simulation, verification, validation, and certification; while ensuring strict compliance with ...

Showing results 21-40

Modeling Simulation Engineer information

See Tomball, TX salary details

$36.9K

$116.8K

$180.3K

How much do modeling simulation engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for modeling simulation engineer in Tomball, TX is $116,825.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,100.00 and $138,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the modeling simulation engineer position, and why are they important?

To thrive as a Modeling Simulation Engineer, you need a strong background in mathematics, physics, and computer science, typically supported by a relevant engineering or science degree. Proficiency with simulation software such as MATLAB, Simulink, ANSYS, or similar tools, and sometimes certifications in systems engineering or modeling methodologies, are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills set top candidates apart. These qualifications are crucial for accurately representing complex systems, translating requirements into effective models, and collaborating with multidisciplinary teams to achieve project goals.

What does a modeling simulation engineer do?

A Modeling Simulation Engineer develops virtual models and simulations to analyze complex systems and processes. They use mathematical models, computer simulations, and data analysis to predict system performance and optimize designs before physical implementation. These engineers typically work in industries like aerospace, defense, automotive, and healthcare to improve efficiency, safety, and decision-making. Their role often involves coding, algorithm development, and working with simulation software to test real-world scenarios in a virtual environment.

What are the typical responsibilities and project stages for a modeling simulation engineer?

Modeling Simulation Engineers are responsible for developing mathematical models, running simulations, analyzing results, and providing recommendations to improve system performance or design. Projects often begin with understanding client or stakeholder requirements, followed by designing models based on those needs and iteratively refining them as data is collected. Engineers work closely with design, hardware, and software teams to validate models and ensure alignment with real-world performance. Collaborating with colleagues and presenting findings to both technical and non-technical audiences are routine aspects of the job, making cross-functional communication vital for project success.

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

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

Infographic showing various Modeling Simulation Engineer job openings in Tomball, TX as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $116,825 per year, or $56.2 per hour.

Senior Software Engineer, Simulation & World Models

Bot Auto

Houston, TX โ€ข On-site, Remote

Full-time

Re-posted 9 days ago


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