Transportation Engineer/Modeler - Cooperative Driving Automation (CDA) and Digital Twin
Leidos
- Vienna, VA
- $65,000-117,500 per year
- Permanent
- Full-time
- 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.
- 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.
- Experience with using professional tools (e.g., Roadrunner) to develop digital twin and 3D simulation scenes for autonomous driving and sensor simulation tools by.
- Experience with creating high-definition (HD) maps.
- Solid understanding of Vehicle-to-Everything (V2X) communication protocols and experience with communication simulation tools such as NS-3 and OMNET++.
- Experience with vehicle dynamics simulators (e.g., CARSIM and TruckSIM).
- Hands-on experience or familiarity with CARMA ecosystem (e.g., CARMA platform, CARMA streets, CARMA messenger, and CARMA Cloud)
- Experience with implementing artificial intelligence (AI) and machine learning in transportation
- Familiar with augmented reality (AR) and virtual reality (VR) technologies.
- Demonstrated project management skills, with a track record of successfully overseeing projects from inception to completion.
- Capable of developing Requests for Information (RFI), Requests for Proposal (RFP), and managing subcontractor agreements.
- Proven experience in managing subcontractors, ensuring adherence to project specifications and timelines.
- Experience with leading or assisting in the development of technical proposals, showcasing the ability to convey complex ideas effectively.
- Competent in developing cost models, basis of estimates (BOEs), and Bill of Materials (BOM) for diverse projects.
- Agile methodology proficiency, with experience in applying agile practices in development environments.
- Strong team collaboration and ability to engage in constructive feedback.
- Clear communication skills, both verbal and written.
- Adherence to schedules with a focused work ethic.
- Receptive to professional growth and learning.
- High quality standards and work pride.
- Enthusiasm for the field of transportation simulation and technology.