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Carla Simulation Jobs in Texas (NOW HIRING)

NVIDIA Omniverse (primary environment), CARLA, Siemens NX/Teamcenter/Plant Simulation, Dassault 3DEXPERIENCE, Ansys Twin Builder, Unity or similar. * Integrate engineering and operational data from ...

NVIDIA Omniverse (primary environment), CARLA, Siemens NX/Teamcenter/Plant Simulation, Dassault 3DEXPERIENCE, Ansys Twin Builder, Unity or similar. * Integrate engineering and operational data from ...

Strong expertise with autonomous driving stack: simulation using NVIDIA IsaacSim or Carla, data augmentation using NVIDIA Cosmos or similar, edge-hardware feasibility analysis, safety and validation ...

Sr. Digital Twin Engineer

Irving, TX · On-site

$117K - $155K/yr

Work hands-on with multiple digital-twin platforms, such as NVIDIA Omniverse (primary environment), CARLA, Siemens NX/Teamcenter/Plant Simulation, Dassault 3DEXPERIENCE, Ansys Twin Builder , or ...

Carla Simulation information

What are the key skills and qualifications needed to thrive as a CARLA Simulation Engineer, and why are they important?

To thrive as a CARLA Simulation Engineer, you need strong programming skills (especially in Python and C++), experience with robotics or autonomous vehicle technologies, and a solid foundation in computer science or engineering. Familiarity with CARLA Simulator, ROS, Unreal Engine, and relevant machine learning frameworks is typically required. Excellent problem-solving, teamwork, and communication skills help you effectively collaborate and troubleshoot complex simulation scenarios. These abilities are crucial for developing, testing, and validating autonomous vehicle systems in realistic virtual environments.

What are some common challenges faced by engineers working with Carla Simulation, and how can they be addressed?

Engineers working with Carla Simulation often face challenges such as managing complex sensor configurations, ensuring realistic scenario creation, and optimizing performance for large-scale simulations. Addressing these challenges typically involves staying current with Carla's updates, leveraging the active open-source community for support, and utilizing Carla's extensive documentation and APIs for customization. Collaborating closely with team members in data science, robotics, and software engineering also helps in troubleshooting technical issues and sharing best practices for simulation accuracy and efficiency.

What is Carla Simulation?

Carla Simulation is an open-source simulator designed for the development, training, and validation of autonomous driving systems. It provides a highly realistic urban environment where users can test self-driving algorithms in various traffic scenarios and weather conditions without any real-world risk. Carla supports flexible sensor configurations, customizable maps, and detailed vehicle dynamics, making it a popular tool for researchers and engineers working in autonomous vehicles and robotics. The platform is widely used in academia and industry for safe and efficient autonomous driving research.

What is the difference between Carla Simulation vs Robot Simulation Engineer?

AspectCarla SimulationRobot Simulation Engineer
Required CredentialsKnowledge of autonomous vehicle simulation, programming skills in Python/C++, experience with Carla platformBackground in robotics, control systems, programming in C++/Python, experience with simulation tools
Work EnvironmentPrimarily software development, simulation testing, virtual environmentsRobotics labs, virtual and physical robot testing environments
Industry UsageAutonomous vehicle development, AI testing, simulation platformsRobotics, automation, research and development

Carla Simulation focuses on developing and utilizing simulation environments for autonomous vehicles, mainly in software. Robot Simulation Engineers work on simulating robotic systems across various industries, including manufacturing and research. While both roles involve simulation and programming, Carla Simulation is specialized in vehicle environments, whereas Robot Simulation Engineers have a broader scope in robotics applications.

What cities in Texas are hiring for Carla Simulation jobs? Cities in Texas with the most Carla Simulation job openings:
Infographic showing various Carla Simulation job openings in Texas as of June 2026, with employment types broken down into 1% As Needed, 97% Full Time, and 2% Contract. Highlights an 10% Physical, 89% Hybrid, and 1% Remote job distribution.

Software Engineer, Simulation Systems

Bot Auto

Houston, TX • On-site

Other

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 virtual testing environments, simulation infrastructure, and developer tools that accelerate autonomous driving development. We leverage large-scale simulation, synthetic data, and modern software engineering practices to improve testing efficiency and software quality.

We are looking for an early-career Software Engineer who is passionate about simulation, robotics, and autonomous driving. You will work alongside experienced engineers to build simulation infrastructure and tools that support the development and validation of autonomous vehicle software.

What You'll DoDevelop Simulation Software
  • Implement simulation features and infrastructure under the guidance of senior engineers
  • Build software components for simulation workflows and testing pipelines
  • Develop tools used by Perception, Prediction, Planning, and Controls teams
  • Contribute to improving simulation reliability, usability, and performance
  • Assist with debugging simulation issues and validating software behavior
Support Simulation Infrastructure
  • Contribute to scenario generation and simulation execution pipelines
  • Help improve automation for simulation testing and evaluation
  • Learn and work with modern simulation platforms and development tools
  • Participate in maintaining internal simulation services and tooling
Grow as an Engineer
  • Write clean, maintainable C++ and Python code
  • Participate in code reviews and incorporate feedback
  • Learn software engineering best practices from experienced teammates
  • Collaborate with cross-functional engineering teams
  • Document software features and technical design
QualificationsRequired
  • Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field
  • Strong programming skills in C++ (C++17 preferred)
  • Experience with object-oriented programming and data structures
  • Familiarity with Linux development environment
  • Basic understanding of:
    • Multithreading
    • Software design principles
    • Debugging techniques
  • Strong problem-solving and communication skills
  • Passion for robotics, simulation, or autonomous systems
Preferred
  • Internship or academic project experience involving:
    • Robotics
    • Autonomous driving
    • Simulation
    • Game engines
  • Experience with Python
  • Familiarity with ROS or ROS2
  • Experience with Docker or Git
  • Exposure to CARLA, Isaac Sim, Unreal Engine, Gazebo, or similar simulation platforms
  • Familiarity with cloud development environments
Nice to Have
  • Coursework or personal projects involving reinforcement learning
  • Experience using Linux and command-line tools
  • Exposure to computer graphics or physics simulation
  • Experience with sensor data processing
  • Interest in AI for robotics or autonomous driving
What We're Looking For
  • Strong software engineering fundamentals
  • Eagerness to learn from experienced engineers
  • Curiosity about simulation, robotics, and autonomous driving
  • Ability to work effectively in a collaborative team environment
  • Strong ownership of assigned tasks
  • Willingness to learn new technologies and engineering practices