ZipRecruiter

Log In

1

Carla Simulation Jobs in California (NOW HIRING)

Pronto

Robotics Test Engineer

San Francisco, CA · On-site

... simulation environments (Gazebo, CARLA, Isaac Sim, or proprietary) • Familiarity with pub/sub messaging systems (ZMQ, ROS, DDS) and binary serialization formats (Cap'n Proto, Protobuf) • C ...

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 ...

ATOMS Careers page

Robotics Test Engineer

San Francisco, CA · On-site

$176K - $242K/yr

Hands-on experience with simulation environments (Gazebo, CARLA, Isaac Sim, or proprietary) * Familiarity with pub/sub messaging systems (ZMQ, ROS, DDS) and binary serialization formats (Cap'n Proto ...

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 ...

General Motors

Senior ML Validation Engineer

Sunnyvale, CA · On-site +1

$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 ...

Pronto

Robotics Test Engineer

San Francisco, CA

$176K - $242K/yr

Hands-on experience with simulation environments (Gazebo, CARLA, Isaac Sim, or proprietary) * Familiarity with pub/sub messaging systems (ZMQ, ROS, DDS) and binary serialization formats (Cap'n Proto ...

previous pagenext page

Showing results 21-40

All JobsCarla Simulation JobsCarla Simulation Jobs in California

Carla Simulation information

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.

What are popular job titles related to Carla Simulation jobs in California?

For Carla Simulation jobs in California, the most frequently searched job titles are:

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

The top searched job categories for Carla Simulation jobs in California are:

What cities in California are hiring for Carla Simulation jobs?

Cities in California with the most Carla Simulation job openings:

Carla Simulation jobs near you
Infographic showing various Carla Simulation job openings in California as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Robotics Test Engineer - San Francisco, CA

Atoms

San Francisco, CA • On-site

Full-time

Re-posted 7 days ago

Job description

Job Summary:
Pronto AI is a global leader in commercializing autonomous vehicle technology, focusing on making mining operations safer and more efficient. They are seeking a Robotics Test Engineer to design and build core test infrastructure, develop simulation-based testing frameworks, and maintain CI/CD pipelines for their autonomous systems.
Responsibilities:
• Design and build the core test infrastructure: harnesses, fixtures, runners, orchestration, and test artifact management for our ZMQ/Cap'n Proto middleware stack
• Build the simulation infrastructure that lets us run autonomy software against virtual scenarios, with deterministic playback and meaningful coverage of real-world conditions
• Build and maintain the testing pipeline that gates code changes — unit, integration, simulation, and replay-based regression — and integrate it cleanly into the developer workflow
• Build infrastructure that converts production logs into reproducible test cases the QA Engineer can curate and the dev team can run
Qualifications:
Required:
• 3+ years of software engineering experience, with significant work on testing infrastructure, developer tools, or distributed systems
• Strong Python — you'll write substantial code, much of it touching production-adjacent infrastructure
• Experience designing and building automation pipelines (CI/CD, test orchestration, build systems)
• Deep familiarity with at least one large-scale software platform — comfortable thinking in terms of APIs, abstractions, and platform usability
• Excellent debugging and systems thinking — you'll be reasoning about failures across simulation, networking, serialization, and CI infrastructure
• Comfort building greenfield — much of what you'll work on does not exist today
Preferred:
• Experience with robotics, autonomous vehicles, or other safety-critical systems
• Hands-on experience with simulation environments (Gazebo, CARLA, Isaac Sim, or proprietary)
• Familiarity with pub/sub messaging systems (ZMQ, ROS, DDS) and binary serialization formats (Cap'n Proto, Protobuf)
• C++ familiarity — enough to read and integrate against the autonomy stack
• Cloud infrastructure experience for parallel test execution (AWS/GCP, Kubernetes)
• Experience with hardware-in-the-loop testing or real-time systems
• Performance engineering background — you've debugged and optimized slow CI/test pipelines before
Company:
Atoms is a robotics startup that develops industrial robotics and physical AI systems to automate tasks across various industries. Founded in 2016, the company is headquartered in Los Angeles, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Apply