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Carla Simulation Jobs (NOW HIRING)

Jobtailor

ML Engineer - Robotics

Mountain View, CA · On-site

$140 - $210/hr

Experience with simulation environments (e.g., Gazebo, Isaac Sim, CARLA, MuJoCo, or PyBullet) for training, testing, or validation. * Familiarity with reinforcement learning, imitation learning, or ...

Clera

ML Engineer - Robotics

Mountain View, CA · On-site

$220K - $300K/yr

Experience with simulation and benchmarking environments such as Gazebo, Isaac Sim, CARLA, MuJoCo, or PyBullet. * Solid background in perception, motion planning, and control pipeline design for ...

Graphcore

Staff Digital Twin Engineer

Austin, TX · On-site

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

Graphcore

Staff Digital Twin Engineer

Austin, TX · On-site

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

HERE Technologies

Sr. Software Engineer

Chicago, IL · On-site

$130K - $140K/yr

Strong collaboration skills across applied science, simulation and product engineering. It would be great if you also bring * Experience with CARLA, NVIDIA DRIVE Sim, OpenSCENARIO, OpenDRIVE or ...

HERE Technologies

Sr. Software Engineer

Chicago, IL · On-site

$130K - $140K/yr

Strong collaboration skills across applied science, simulation and product engineering. It would be great if you also bring * Experience with CARLA, NVIDIA DRIVE Sim, OpenSCENARIO, OpenDRIVE or ...

General Motors

Senior ML Validation Engineer

Sunnyvale, CA · On-site

$144K - $261K/yr

Familiarity with CARLA, SVL, DriveSim, Applied Intuition, or equivalent simulation platforms. * Knowledge of Bayesian ML, causal inference, and sequential testing. * Experience with digital twin ...

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Carla Simulation information

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$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?

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What job categories do people searching Carla Simulation jobs look for?

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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 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.

ML Engineer - Robotics

Jobtailor

Mountain View, CA • On-site

$140 - $210/hr

Other

Posted 18 days ago

Job description

Responsibilities
  • Develop and optimize ML models for perception, motion planning, and control.
  • Build computer vision and sensor-fusion systems using camera, LiDAR, and IMU data.
  • Integrate learning-based models with robotics software stacks (ROS/ROS2).
  • Design pipelines for data collection, simulation, and reinforcement learning.
  • Collaborate with robotics and hardware engineers to deploy models in live environments.
  • Continuously evaluate model performance and robustness across diverse scenarios.
Requirements
  • Proficiency in Python and C++, with hands‑on experience using PyTorch and/or TensorFlow to build and deploy models.
  • Experience with ROS or ROS2 and integrating ML models into robotics software stacks for live deployments.
  • 3–10 years of experience in machine learning, robotics, or computer vision.
  • Strong grasp of robotics concepts such as localization, SLAM, control systems, and sensor fusion.
  • Experience with simulation environments (e.g., Gazebo, Isaac Sim, CARLA, MuJoCo, or PyBullet) for training, testing, or validation.
  • Familiarity with reinforcement learning, imitation learning, or adaptive control techniques applicable to robotics.
  • Experience deploying ML models in real‑time or embedded environments.
  • Nice to Have: Experience with on‑board/edge deployment and optimizing models for constrained hardware.
Core Competencies

Demonstrates expertise in developing and optimizing machine learning models for robotics applications, with a strong focus on computer vision, sensor fusion, and real‑time deployment. Proficient in integrating learning‑based models with robotics software stacks and evaluating model performance in diverse environments.

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