Transportation Engineer/Modeler - Cooperative Driving Automation (CDA) and Digital Twin

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Role Overview:

We are seeking a dedicated Transportation Engineer/Modeler for Cooperative Driving Automation (CDA) and Digital Twin to join our McLean, Virginia group. You will engage in dynamic projects involving Operations, Safety, Freight, and Access Management and in the growing and rapidly advancing fields of Intelligent Transportation Systems (ITS), CDA, Digital Twin, V2X, and Connected Vehicle (CV) technologies.

Key Responsibilities, but are not limited to:

• 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.

Required Qualifications:

• Advanced degree (Master’s or higher) in Transportation Engineering, Systems Engineering, Computer Science, or related fields.
• 2+ years of hands-on experience in professional or academic setting with at least one of microscopic traffic simulation tools (e.g., SUMO, Vissim, Aimsun, Transmolder, or similar).
• 1+ years of hands-on experience in professional or academic setting with cooperative autonomous driving and sensor simulation tools, (e.g., CARLA, LGSVL, CARMAKER, or similar).
• Ability to obtain and maintain a Public Trust clearance (which includes three years of immediate residency in the US).
• Experience in developing digital twin or 3D simulation networks (e.g., CARLA)
• Proficiency in programming for implementing developed algorithms into simulation tools (C++, Java, Python, or Matlab).
• Demonstrated ability to author technical research papers and reports.
• Expertise in advanced data analytics for transportation using Python, or Matlab.
• Knowledge of CAV, Intelligent Transportation Systems, and traffic operation and management.
• Clear communication skills, both verbal and written.