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Driving Simulator Jobs in Texas (NOW HIRING)

Simulation Operator AV Testing

Austin, TX ยท On-site

$24 - $28/hr

Operate driving simulators using joysticks or gaming-style controllers in real-time testing environments * Respond rapidly to simulated driving events with precision and accuracy * Monitor and log ...

Simulation Operator AV Testing

Austin, TX ยท On-site

$24 - $28/hr

Operate driving simulators using joysticks or gaming-style controllers in real-time testing environments * Respond rapidly to simulated driving events with precision and accuracy * Monitor and log ...

CDL/Truck Driving Insructor

Vernon, TX ยท On-site

$52K - $53K/yr

The driving instructor's responsibilities include planning and delivering lessons that promote ... Use relevant technology/simulators to support instruction. * Maintain truck/trailer and provide ...

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Driving Simulator information

What is a driving simulator?

A Driving Simulator job involves operating or managing driving simulation equipment to test vehicle performance, train drivers, or conduct research. Professionals in this role may work in automotive development, driver education, or transportation safety. Responsibilities often include setting up simulations, analyzing data, and ensuring realistic driving experiences. This job is common in industries like automotive engineering, academia, and military training.

What are the typical daily responsibilities of a driving simulator operator?

As a Driving Simulator Operator, your day-to-day tasks often include setting up and calibrating simulation equipment, monitoring test runs, recording and analyzing data, and reporting findings to engineers or trainers. You will frequently collaborate with automotive engineers, researchers, or driver instruction teams to design scenarios and troubleshoot technical issues. Tasks may also involve updating simulation software and maintaining hardware to ensure accuracy and safety. This role requires both technical proficiency and effective communication, as you serve as a key link between testing operations and project goals.

What are the key skills and qualifications needed to thrive in the driving simulator position, and why are they important?

To thrive as a Driving Simulator Operator, you need a solid understanding of vehicle dynamics, excellent observational skills, and often a background in automotive testing or engineering. Familiarity with simulation software, data acquisition systems, and possibly certifications in automotive safety or technology are typically required. Strong attention to detail, communication, and problem-solving abilities help operators quickly adapt to test scenarios and provide accurate feedback. These competencies ensure the validity of simulator results, help improve vehicle design or training programs, and maintain safe test environments.

What are popular job titles related to Driving Simulator jobs in Texas?

For Driving Simulator jobs in Texas, the most frequently searched job titles are:

What cities in Texas are hiring for Driving Simulator jobs?

Cities in Texas with the most Driving Simulator job openings:

Infographic showing various Driving Simulator job openings in Texas as of September 2026, with employment types broken down into 100% Full Time. Highlights an 70% In-person, 20% Hybrid, and 10% Remote job distribution.

Senior Software Engineer, Simulation & World Models

Houston, TX โ€ข On-site, Remote

Full-time

Re-posted 4 days ago


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