... simulation environments (CARLA, SUMO, or similar) • Knowledge of autonomous vehicle systems architecture and behavioral planning concepts • Experience with ROS 2 on Linux systems • Experience ...
... simulation environments (CARLA, SUMO, or similar) • Knowledge of autonomous vehicle systems architecture and behavioral planning concepts • Experience with ROS 2 on Linux systems • Experience ...
NIST PREP Research Associate in Developing Test Plans through Systems Interaction Models
Gaithersburg, MD · On-site
$70K/yr
Experience with autonomous vehicle simulation environments (CARLA, SUMO, or similar) * Knowledge of autonomous vehicle systems architecture and behavioral planning concepts * Experience with ROS 2 on ...
NIST PREP Research Associate in Developing Test Plans through Systems Interaction Models
Gaithersburg, MD · On-site
$70K/yr
Experience with autonomous vehicle simulation environments (CARLA, SUMO, or similar) * Knowledge of autonomous vehicle systems architecture and behavioral planning concepts * Experience with ROS 2 on ...
Computer Vision Software Engineers
Mclean, VA · On-site
$95 - $120/hr
Familiarity with simulation environments such as SUMO or CARLA, or other simulators built in Unreal or Unity. Familiarity with existing CDA infrastructure standards and/or hardware such as those from ...
New
Computer Vision Software Engineers
Mclean, VA · On-site
$95 - $120/hr
Familiarity with simulation environments such as SUMO or CARLA, or other simulators built in Unreal or Unity. Familiarity with existing CDA infrastructure standards and/or hardware such as those from ...
New
Carla Simulation information
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?
| Aspect | Carla Simulation | Robot Simulation Engineer |
|---|---|---|
| Required Credentials | Knowledge of autonomous vehicle simulation, programming skills in Python/C++, experience with Carla platform | Background in robotics, control systems, programming in C++/Python, experience with simulation tools |
| Work Environment | Primarily software development, simulation testing, virtual environments | Robotics labs, virtual and physical robot testing environments |
| Industry Usage | Autonomous vehicle development, AI testing, simulation platforms | Robotics, 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 Washington? For Carla Simulation jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Carla Simulation jobs in Washington look for? The top searched job categories for Carla Simulation jobs in Washington are:
What cities in Washington are hiring for Carla Simulation jobs? Cities in Washington with the most Carla Simulation job openings:
Full-time
Re-posted 18 days ago
Johns Hopkins University rating
8.0
Based on 71 frontline employees who took The Breakroom Quiz
184th of 616 rated colleges and universities
Job description
Description
PREP Research Associate
This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Title:
Measurement Science for AI Decision-Making in Automated Driving Systems
The work will entail:
The Measurement Science for Automated Vehicles project at NIST is seeking a candidate to support measurement science research for AI decision-making in automated vehicles. This position contributes to NIST's development of a tiered measurement framework for evaluating AI decision-making performance. The candidate will focus on two core areas: 1) building and curating a scenario database for decision-making evaluation and 2) developing standardized state representations for the evaluation framework.
U.S. Citizen Preferred
Key responsibilities will include but are not limited to:
• Scenario Database Development
o Build and curate a database of behavioral planning test scenarios sourced from Safety Pool™ and other relevant datasets
o Develop scenario classification and tagging systems to support systematic evaluation of behavioral competencies (e.g., lane changes, merges, yielding, intersection navigation)
o Implement tools for scenario selection, parameterization, and configuration for use in simulation-based testing
o Create methods for generating scenario variants to ensure comprehensive coverage of edge cases and challenging traffic situations
• Vehicle State Representation
o Design and implement a standardized format for representing vehicle state information exchanged between the simulation environment and the automated driving (AD) stack under test
o Define world state schemas that capture relevant traffic context, road geometry, and dynamic agent information needed for behavioral planning evaluation
o Develop message schemas and interface specifications for the Evaluation Gateway, including cryptographic hashing methods for data integrity verification
o Ensure compatibility of state representations with industry standards and common AD stack architectures (both end-to-end and modular)
Qualifications
• MS or (BS + 2 years of experience) in Computer Science, Robotics, AI/Machine Learning, or related engineering fields
• Strong programming experience in Python and C++, with familiarity with AI/ML frameworks (TensorFlow, PyTorch, etc.)
• Experience with autonomous vehicle simulation environments (CARLA, SUMO, or similar)
• Knowledge of autonomous vehicle systems architecture and behavioral planning concepts
• Experience with ROS 2 on Linux systems
• Experience with version control software and workflow (Git/GitHub/GitLab)
• Understanding of data modeling principles and validation methodologies
• Familiarity with database design and management for storing and querying structured scenario data
Application Instructions
Please upload the following with your application:
• CV/Resume
*Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume.
• Self portraits
• Phone number
• Home address/Country
• Citizenship status
• Languages spoken
• Sex/Gender
• Privacy Act Statement
Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
PREP Research Associate
This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Title:
Measurement Science for AI Decision-Making in Automated Driving Systems
The work will entail:
The Measurement Science for Automated Vehicles project at NIST is seeking a candidate to support measurement science research for AI decision-making in automated vehicles. This position contributes to NIST's development of a tiered measurement framework for evaluating AI decision-making performance. The candidate will focus on two core areas: 1) building and curating a scenario database for decision-making evaluation and 2) developing standardized state representations for the evaluation framework.
U.S. Citizen Preferred
Key responsibilities will include but are not limited to:
• Scenario Database Development
o Build and curate a database of behavioral planning test scenarios sourced from Safety Pool™ and other relevant datasets
o Develop scenario classification and tagging systems to support systematic evaluation of behavioral competencies (e.g., lane changes, merges, yielding, intersection navigation)
o Implement tools for scenario selection, parameterization, and configuration for use in simulation-based testing
o Create methods for generating scenario variants to ensure comprehensive coverage of edge cases and challenging traffic situations
• Vehicle State Representation
o Design and implement a standardized format for representing vehicle state information exchanged between the simulation environment and the automated driving (AD) stack under test
o Define world state schemas that capture relevant traffic context, road geometry, and dynamic agent information needed for behavioral planning evaluation
o Develop message schemas and interface specifications for the Evaluation Gateway, including cryptographic hashing methods for data integrity verification
o Ensure compatibility of state representations with industry standards and common AD stack architectures (both end-to-end and modular)
Qualifications
• MS or (BS + 2 years of experience) in Computer Science, Robotics, AI/Machine Learning, or related engineering fields
• Strong programming experience in Python and C++, with familiarity with AI/ML frameworks (TensorFlow, PyTorch, etc.)
• Experience with autonomous vehicle simulation environments (CARLA, SUMO, or similar)
• Knowledge of autonomous vehicle systems architecture and behavioral planning concepts
• Experience with ROS 2 on Linux systems
• Experience with version control software and workflow (Git/GitHub/GitLab)
• Understanding of data modeling principles and validation methodologies
• Familiarity with database design and management for storing and querying structured scenario data
Application Instructions
Please upload the following with your application:
• CV/Resume
*Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume.
• Self portraits
• Phone number
• Home address/Country
• Citizenship status
• Languages spoken
• Sex/Gender
• Privacy Act Statement
Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
What Johns Hopkins University employees say
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About Johns Hopkins University
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Gilman believed that teaching and research go hand in hand—that success in one depends on success in the other—and that a modern university must do both well. He also believed that sharing our knowledge and discoveries would help make the world a better place. In 145 years, we haven’t strayed from that vision. This is still a destination for excellent, ambitious scholars and a world leader in teaching and research. Distinguished professors mentor students in the arts and music, humanities, social and natural sciences, engineering, international studies, education, business, and the health professions. Those same faculty members, along with their colleagues at the university’s Applied Physics Laboratory, have made us the nation’s leader in federal research and development funding every year since 1979. That’s a fitting distinction for America’s first research university, a place that has revolutionized higher education in the U.S. and continues to bring knowledge and discoveries to the world.
Industry
Colleges, universities, and professional schools
Company size
10,000+ Employees
Headquarters location
Baltimore, MD, US
Year founded
1876