Cooperative Driving Automation (CDA) and Digital Twin Engineer

Description

Join a forward-thinking team committed to innovating the transportation sector! At Leidos, we support the Federal Highway Administration's (FHWA) Saxton Transportation Operations Laboratory (STOL), focusing on enhancing transportation operations, safety, mobility, and reducing environmental impacts. STOL champions the integration of emerging technologies such as cooperative driving automation (CDA) and Vehicle-to-Everything (V2X) to revolutionize transportation.

Learn more about STOL here !

Role Overview:

• Conduct research on a variety of transportation engineering projects, which encompass traffic simulation, CDA, Digital Twin, V2X, CV, safety, and Intelligent Transportation Systems (ITS).
• Execute traffic simulation projects across multiple scales, ranging from microscopic to macroscopic levels.
• Develop, refine, and maintain simulation networks, manage comprehensive data analysis, and implement cutting-edge algorithms in an open-source environment.
• Perform cross-disciplinary CDA and Vehicle-to-Everything (V2X) simulations, including automated driving simulation, vehicle dynamics simulation, V2X communication simulation, and sensor simulation.
• Participate in the creation of digital twins and high-definition (HD) maps.
• Utilize data mining techniques and algorithms to analyze Connected and Automated Vehicle (CAV) and V2X testing data.
• Create guidance, training, and outreach materials aimed at technical audiences, practitioners, and various stakeholders, focusing on diverse aspects of transportation.
• Develop documentation, reports, manuals, and presentations to effectively communicate project results to intended audiences, ensuring clarity and practical applicability in both oral and written forms.
• Contribute to the development, support, and review of technical proposals.
• Author white papers, proposals, and briefings that demonstrate technical and thought leadership, catering to the needs of Leidos leadership or clients.