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Carla Simulation Jobs in Virginia (NOW HIRING)

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 ...

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?

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 cities in Virginia are hiring for Carla Simulation jobs?

Cities in Virginia with the most Carla Simulation job openings:

Computer Vision Software Engineers

AIToolboard

Mclean, VA • On-site

$95 - $120/hr

Other

Posted 9 days ago


Job description

/Computer Vision Software Engineers# Computer Vision Software Engineers00100 LEIDOS, INC.McLean, USFull-time## About the RoleJoin us in improving and shaping the future of the smart mobility with a group of intelligent, motivated, and dedicated individuals! Leidos operates the Federal Highway Administration's (FHWA) Saxton Transportation Operations Laboratory (STOL) , a US Department of Transportation (USDOT) onsite R D lab located at the Turner Fairbank Highway Research Center . STOL's focus is on improving transportation system operations to achieve USDOT's safety, mobility, sustainability and equity goals. STOL spearheads a variety of exciting R D projects involving emerging technologies, including but not limited to infrastructure and vehicle connectivity and automation, everything-in-the loop simulation, and AI/ML modeling in a fast-paced and collaborative laboratory environment to solve novel transportation research problems. Learn about STOL here : https://highways.dot.gov/turner-fairbank-highway-research-center/labs/STOL To promote these efforts, Leidos is looking for a onsite mid-level Software Engineer to join our team! CANDIDATE MUSTbe able to work onsite full time in McLean, VA AND have the Ability to obtain and maintain a Public Trust security clearance ( which includes current three years immediate residency in the US ). Primary Responsibilities:Analyze and assess the team's existing ITS software systems to understand their architecture, and how they can be redesigned into more modular, scalable, and maintainable components. Contribute to internal best practices for software development and lead knowledge sharing to support adoption across development teams. Work with cross-functional internal team to determine technical feasibility of projects, breakdown project goals into software development tasks, and assist with overall effort and timeline estimation of planned work. Lead the execution of planned technical work, including design work, addressing unplanned technical challenges, and being responsive to changes in customer needs. Directly interact with on-site customer representatives and external stakeholders to communicate across technical disciplines as needed throughout a project's life cycle. Lead development for research prototypes and proof-of-concepts for various intelligent transportation systems (ITS) applications across a variety of ITS devices, including infrastructure, vehicle, and cloud systems. Participate in and help shape our open-source software process, triaging and addressing issues reported by external users and evaluating 3rd party code contributions. Identify, document, and formulate approaches to addressing areas of technical debt. Conduct hands-on test events and demonstrations, on-site at TFHRC and off-site at test facilities. Minimal Qualifications:Interest in working with emerging technologies and shaping the future of transportation. A Bachelor's degree in computer science or engineering with at least 4 years of professional experience in object-oriented software development, or a Master's degree with at least 2 years of professional experience in object-oriented software development. Experience and familiarity with manual memory management in languages like C/C++. Experience in developing solutions to open-ended research questions and developing novel approaches to solving problems. Strong ability and interest to learn new problem domains, new skills, algorithms, and concepts. Interest and motivation to develop software to answer valuable research questions to advance transportation technology. Experience with Git. Experience with Docker (including docker-compose). Experience developing in an Agile framework using toolsets such as JIRA and Confluence. Proficiency in software quality techniques and practices (automated unit testing, test-driven design/development, CI/CD pipelines with GitHub Actions, static code analysis tools, etc.). Understanding of mathematical fundamentals, including geometry, linear algebra, probability, graph theory, set theory, and statistics. Preferred Qualifications:Extensive experience designing, implementing, and maintaining C++, Java, and Python software packages in a Linux environment. Experience with Linux build systems and package management systems. Experience with Kafka or similar message broker systems. Experience with Robot Operating System (ROS). Experience with user interface (UI) and/or front-end development. Familiarity with distributed computing and cloud computing concepts. Familiarity with one or more robotics concepts such as localization, path planning, perception, or sensor fusion. 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 SAE or IEEE. Experience in a fast-paced dynamic R D environment. Experience as software engineering team lead. Anticipated Salary range for this role is $95-$120k If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the sta### Apply for this PositionFill out the form below to apply for this roleLocationMcLean, US #J-18808-Ljbffr