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Remote Modeling Simulation Engineer Jobs in Houston, TX

Hitachi

Senior Developer EMS

Houston, TX · On-site +1

$52 - $68.75/hr

Engineering & Science Job Schedule: Full time Remote: No The Opportunity Hitachi Energy's Grid ... Apply power system studies, modeling, simulation, optimization, and numerical methods to ...

NABORS

MPD ENGINEER II

Houston, TX · Remote

Perform engineering calculations and simulations to support MPD operations, including flow modeling ... Provide remote technical support and troubleshooting assistance to field engineers and rig teams ...

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Remote Modeling Simulation Engineer information

See Houston, TX salary details

$37.2K

$117.8K

$181.9K

How much do remote modeling simulation engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for remote modeling 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 remote modeling simulation engineer?

Remote Modeling Simulation Engineers are professionals who use computer-based models and simulations to analyze, design, and optimize systems or products, often working from a location outside of a traditional office. They leverage specialized software to create virtual prototypes and run simulations, which helps in testing and improving designs without the need for physical experiments. These engineers collaborate with teams online, and their work is crucial in industries such as aerospace, automotive, energy, and manufacturing. Their remote setup allows companies to tap into a wider talent pool and offers professionals greater flexibility.

How does a remote modeling simulation engineer typically collaborate with cross-functional teams despite working remotely?

Remote Modeling Simulation Engineers frequently work with multidisciplinary teams, including software developers, project managers, and subject matter experts. Collaboration is typically facilitated through virtual meetings, shared simulation platforms, and cloud-based project management tools. Regular communication and thorough documentation are essential to ensure alignment on project goals and simulation requirements. While remote work offers flexibility, it also requires proactive engagement to stay connected and effectively contribute to team-driven problem solving.

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

To thrive as a Remote Modeling Simulation Engineer, you need a solid background in engineering or computer science, strong mathematical modeling skills, and experience with simulation methodologies. Familiarity with tools like MATLAB, Simulink, Python, and simulation software, along with relevant certifications such as Certified Systems Engineering Professional (CSEP), is often required. Exceptional problem-solving, self-motivation, and clear communication are crucial soft skills, especially when collaborating remotely with diverse teams. These skills ensure accurate model development, effective virtual teamwork, and the delivery of reliable simulation results for complex engineering challenges.

What is the difference between Remote Modeling Simulation Engineer vs Remote Data Analyst?

AspectRemote Modeling Simulation EngineerRemote Data Analyst
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; experience with simulation softwareBachelor's or higher in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentEngineering teams, simulation labs, software development settingsBusiness, finance, healthcare, or tech companies analyzing data sets
Industry UsageManufacturing, aerospace, automotive, defenseFinance, marketing, healthcare, technology
Common Search/ComparisonYesYes

The Remote Modeling Simulation Engineer focuses on creating and running simulations to predict system behaviors, often in engineering or manufacturing contexts. In contrast, the Remote Data Analyst interprets data to inform business decisions across various industries. While both roles require analytical skills and technical knowledge, their tools, applications, and industry focus differ significantly.

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

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

What are popular job titles related to Remote Modeling Simulation Engineer jobs in Houston, TX?

For Remote Modeling Simulation Engineer jobs in Houston, TX, the most frequently searched job titles are:

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

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

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

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

Remote Modeling Simulation Engineer jobs near you

Senior Software Engineer, Simulation & World Models

Bot Auto

Houston, TX • On-site, Remote

Full-time

Re-posted 20 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

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