Intelligent Transportation Systems Research Engineer

Leidos hiring for Intelligent Transportation Systems Research Engineer jobs in Hyattsville, MD, US

Description

Are you interested in improving and shaping the transportation industry with a group of intelligent and motivated individuals?  Consider joining the Leidos team operating the Federal Highway Administration (FHWA)’s Saxton Transportation Operations Laboratory (STOL), a USDOT research lab focused on the improvement of transportation operations, safety, mobility, and environmental impacts.  STOL champions the integration of emerging technologies such as cooperative driving automation (CDA) and Vehicle-to-Everything (V2X) to revolutionize transportation.

Learn about STOL here: https://highways.dot.gov/research/laboratories/saxton-transportation-operations-laboratory/saxton-transportation-operations-laboratory-overview.

To support these goals, Leidos is seeking an Intelligent Transportation Systems (ITS) Research Engineer to join a highly successful team in researching and developing Connected and Automated Vehicle (CAV) technologies to shape the future of transportation. We are looking for someone who is motivated by variety, thrives in a challenging environment, seeks professional growth, and will be a key part of a team developing and extending a variety of applications and components to improve results that impact the transportation industry.

Location: Onsite inMcLean, VA

Role Overview: We are seeking a dedicated ITS Research Engineer to join our McLean, Virginia group.  The successful candidate will engage in various projects aiming to develop and optimize the use of advanced technologies (such as intelligent transportation systems (ITS), CDA, C-V2X, and CAV) to improve the safety and operation of multimodal transportation systems.

Key Responsibilities, but are not limited to:

• Interact with in-house and external development teams to identify, understand, and resolve technical goals and challenges.
• Develop solutions to improve the safety and mobility of multimodal transportation systems.
• Develop Concept of Operations and System Requirements for a variety of transportation applications/use cases.
• Execute innovative solutions involving the integration of ITS, CDA, C-V2X, and CAV applications to improve the transportation of people and goods through the implementation of cutting-edge algorithms as well as simulation approaches.
• Analyze large-scale datasets to explain the performance of the transportation system and transportation technologies.
• 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.
• Provide technical assistance to academia, government, and private industry to support the adoption of ITS, CDA, C-V2X, and CAV technologies.
• 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:

• Master’s degree in Transportation Engineering, Systems Engineering, Computer Science, or other related fields with 2+ years’ experience.
• Bachelor degree in Civil Engineering, Systems Engineering, Computer Science, or other related fields with 4+ years’ experience.
• Ability to obtain and maintain a Public Trust clearance (which includes three years of immediate residency in the US).
• Extensive experience working on various transportation system applications and cutting-edge transportation applications.
• In-depth knowledge of CAV, Intelligent Transportation Systems, and traffic operation and management.
• Knowledge of various data analytics and simulation techniques in the context of transportation applications.
• Proficiency in at least one programming language (C++, Java, Python, VBA, or Matlab).
• Demonstrated ability to author technical research papers and reports.
• Strong communication skills (writing, speaking, and listening).
• Ability to articulate solutions and rationale for design decisions.
• Self-motivated and focused on delivering outcomes.
• Ability to work independently and as part of large teams.

Preferred Experience:

• PhD degree in Transportation Engineering, Systems Engineering, Computer Science, or other related fields.
• In-depth knowledge of Artificial Intelligence and Machine Learning tools in transportation.
• Proficient in the application of co-simulation tools.
• Experience developing concept of operations and system requirements documents.
• Experience working with ARC-IT and SET-IT.
• In-depth understanding of Systems Engineering process.
• Solid understanding of Vehicle-to-Everything (V2X) communication protocols and CDA technology architectures.
• Demonstrated project coordination and management skills, with a track record of successfully overseeing projects from inception to completion.
• Experience with leading or assisting in the development of technical proposals, showcasing the ability to convey complex ideas effectively.
• Agile methodology proficiency, with experience in applying agile practices in development environments.

Anticipated salary for this role: $80,000 - $100,000

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.