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Carla Simulation Jobs (NOW HIRING)

$140 - $190/hr

Help us connect our world models to existing simulator APIs that customers are familiar with (Isaac Lab, Carla, etc). * Harness engineering: Rethink "classical" to become a physical AI equivalent of ...

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 ...

NY · On-site

$120 - $160/hr

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 ...

$113 - $183/hr

Experience with simulation environments or game engines such as Nvidia Omniverse, CARLA, Unity, Unreal Engine, or Applied Intuition.* Knowledge of digital twin or engineering simulation platforms ...

Senior Simulation Engineer

Irving, TX · On-site

$113 - $183/hr

Experience with simulation environments or game engines such as Nvidia Omniverse, CARLA, Unity, Unreal Engine, or Applied Intuition.* Knowledge of digital twin or engineering simulation platforms ...

$113 - $183/hr

Experience with simulation environments such as Nvidia Omniverse, CARLA, or Applied Intuition**Additional Details:*** This position requires the candidate to work full-time at the Irving, TX office ...

Showing results 21-40

Carla Simulation information

See salary details

$11K

$67.6K

$121.5K

How much do carla simulation jobs pay per year?

As of Sep 5, 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 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 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 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.

More about Carla Simulation jobs

What cities are hiring for Carla Simulation jobs?

Cities with the most Carla Simulation job openings:

What states have the most Carla Simulation jobs?

States with the most job openings for Carla Simulation jobs include:

Infographic showing various Carla Simulation job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $67,601 per year, or $32.5 per hour.

Principal Software Engineer, Vehicle Dynamics Simulation - AV

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 16 days ago


Key responsibilities

  • Shape the technical vision, architecture, and roadmap for vehicle dynamics simulation.

  • Develop production-quality C++ interfaces and create workflows for model selection, parameter identification, adaptation, and validation.

  • Translate trajectory and control commands into time-aligned motion, state, and diagnostic outputs.


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

At NVIDIA, we are advancing autonomous vehicle development through scalable simulation, AI, and thorough validation. Our Autonomous Vehicle Simulation team builds systems that help engineers develop, test, debug, and improve driving behavior before it reaches the road. We connect planner and controller intent to realistic motion across highway, city, parking, and active-safety scenarios. In this Principal-level individual contributor role, you'll shape a production vehicle dynamics simulation framework spanning model fidelity, parameter adaptation, software interfaces, validation, and integration. Join us in making demanding maneuvers-from low-speed parking to evasive steering and hard braking-more faithful in simulation!
What you'll be doing:
  • Be responsible for the technical vision, architecture, and roadmap for vehicle dynamics simulation across highway, city, parking, active-safety, and low-speed workflows.
  • Develop production-quality C++ interfaces for simplified, replay-based, and high-fidelity multibody models.
  • Create scalable model-selection, parameter-identification, adaptation, and validation workflows for diverse vehicle platforms.
  • Translate trajectory and control commands into time-aligned motion, state, and diagnostic outputs.
  • Establish model parameters, software boundaries, regression metrics, compatibility practices, and release gates.
  • Partner with planning and controls, parking, active safety, simulation reliability, synthetic data, and product teams.
  • Set technical standards, mentor engineers, and supply hands-on through design, implementation, debugging, testing, and documentation.

What we need to see:
  • Bachelor's degree in Mechanical Engineering, Robotics, Computer Science, Electrical Engineering, Aerospace Engineering, or a related field (or equivalent experience).
  • 15+ years of relevant industry experience.
  • Deep knowledge of longitudinal and lateral vehicle dynamics, tire-road interaction, steering, braking, actuator limits, latency, saturation, kinematic and dynamic bicycle models, multi-degree-of-freedom dynamics, multibody simulation, and tire models such as Pacejka Magic Formula, Fiala, FTire, or TMeasy.
  • Strong C++ skills for production software and Python skills for analysis, validation, data processing, tooling, and test automation.
  • A record of building modular, testable production systems for simulation, computer-aided engineering, robotics, autonomous vehicles, automotive controls, or physics-based software.
  • Proven ability to calibrate and validate simulation models using measured logs, test-track data, controlled maneuvers, or simulation benchmarks while maintaining deterministic behavior and regression coverage.
  • Principal-level technical leadership and clear communication across multidisciplinary engineering and product teams.

Ways to stand out from the crowd:
  • Experience with Project Chrono and Chrono::Vehicle, CARLA, CarSim, CarMaker, Simulink and Simscape, ADAMS, Simbody, BeamNG, Unreal Engine and PhysX, or comparable simulation frameworks.
  • Success integrating multibody and parameterized model families across vehicle architectures, payloads, tire and road conditions, parking behavior, or original equipment manufacturer and supplier workflows.
  • Familiarity with Protocol Buffers, gRPC, API and ABI compatibility, Bazel, CMake, containerized simulation, continuous integration, CUDA, validation dashboards, or high-performance numerical computing.

We value different paths to technical excellence and welcome candidates who bring strong judgment, curiosity, and a collaborative approach. Come build the future of autonomous vehicle simulation with us!
#AutonomousVehicles
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 391,000 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 2, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US