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Carla Simulation Jobs (NOW HIRING)

Merlin Labs

Staff Simulation Platform Engineer

Boston, MA · On-site

$180K - $240K/yr

Experience contributing to or architecting large-scale simulation frameworks (e.g., AFSIM, Unreal/Unity-based simulation environments, CARLA, custom autonomy simulation platforms, or equivalent)

Toyota Research Institute

Senior Simulation Engineer

Los Altos, CA · On-site

$180K - $258K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience with simulation platforms (e.g., CARLA, Applied Intuition, Nvidia DriveSim, etc) and their integration into autonomous system workflows. * Knowledge of sensor simulation principles and how ...

Merlin Labs

Staff Simulation Platform Engineer

Boston, MA

$180K - $240K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Experience contributing to or architecting large-scale simulation frameworks (e.g., AFSIM, Unreal/Unity-based simulation environments, CARLA, custom autonomy simulation platforms, or equivalent)

Merlin Labs

$180K - $240K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Experience contributing to or architecting large-scale simulation frameworks (e.g., AFSIM, Unreal/Unity-based simulation environments, CARLA, custom autonomy simulation platforms, or equivalent)

AeroVect

CA$140K/yr

Hands-on simulation experience for autonomous systems, familiarity with simulation platforms such as CARLA, Applied Intuition, Foretellix, NVIDIA Omniverse, IsaacSim, Gazebo, or a proprietary in ...

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All JobsCarla Simulation Jobs

Carla Simulation information

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$11K

$67.6K

$121.5K

How much do carla simulation jobs pay per year?

As of Aug 14, 2026, the average yearly pay for carla simulation in the United States is $67,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $79,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Carla simulation engineer?

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.

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Carla Simulation jobs near you
Infographic showing various Carla Simulation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $67,601 per year, or $32.5 per hour.

Vehicle Simulation Engineer

Staffingine LLC

San Francisco, CA • On-site

Contractor

Re-posted 6 days ago

Job description

Job Title:  Vehicle Simulation Engineer
Job Location: San Francisco, CA
Job Type: Contract

Job Description:

  •  Work within the Customer Incubation Teams software framework
  • Generating Autonomy Requirements and Designing Experiments
  • Building software systems to help deploy and manage experiments
  • Launching SIL & ML/AI experiments to help make engineering decisions
  • Develop and build reusable ML pipelines to set up and test various ML techniques and strategies
  • Develop AWS experiment deployment strategies and build software solutions to deploy and manage
  • Hands-on exp with CARLA (an open-source simulator for autonomous driving research)
  • Build a knowledge base of experiment results, presented as dashboards
  • Work with 1A Data Pipeline team, 1A Perception Team, 1A Planning Team to resolve requirements