Junior Software Engineer - Smart Mobility

Junior Software Engineer - Smart Mobility

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 safety, operations, and mobility 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: (Use the "Apply for this Job" box below)./STOL

Location:

This role will be expected to work full-time at the customer site in McLean, VA.

• Be US Citizens or Green Card Holders who are currently in the United States for the current three consecutive years and be eligible for a Public Trust Clearance.

Leidos is seeking a Junior Software Engineer - Smart Mobility to join a highly successful team in researching and developing automated transportation 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.

The successful candidate will engage in various projects aiming to develop and optimize the use of advanced technologies (such as autonomous vehicles (AVs), connected and autonomous vehicles (CAVs), and intelligent transportation systems (ITS)) to improve the safety and operation of multimodal transportation systems.

• Participate in the full software development lifecycle for software tools, including requirements analysis, design, implementation, testing (including unit tests and integration tests), release, and maintenance.
• Develop software tools that support the safety evaluation of autonomous vehicles (AVs).
• Play a key role in maintaining and enhancing the operation of the US Department of Transportations (USDOT) open-source connected and automated vehicle tools, such as CARMA Platform, CARMA Messenger, and V2XHub.
• Collaborate with the broader software team to break down software development efforts into clear and manageable tasks.
• Research intelligent transportation systems (ITS) industry trends, assess the current state of relevant technologies, identify gaps, and help prioritize tool development to best support industry needs.
• Provide constructive feedback on Git Hub Pull Requests made by other team members to help them improve their implementation skills, while also being open to feedback on your own code contributions.
• Support both the internal development team and external users of our open-source software by developing clear and helpful documentation throughout all phases of the development process, including detailed design documents, helpful/concise comments within developed code, and informative descriptions in generated Git Hub Pull Requests and Issues.
• Interact with customer representatives as needed throughout a project's lifecycle to provide updates related to software design, development, and testing.
• Use open-source simulation tools to test and evaluate ITS applications and use cases.

• A Master's degree in computer science, engineering, or other science discipline with 1-2 years of relevant experience, OR a Bachelor's degree with 2-4 years of relevant experience.
• Strong interest in working with emerging technologies and shaping the future of transportation.
• Hands‑on experience developing, testing, and troubleshooting software written in Python and C++ in a Linux environment.
• Background with automation or robotics principles.
• Understanding of mathematical fundamentals, including geometry, linear algebra, probability, and statistics.
• Prior experience with developing software leveraging Robot Operating System (ROS) 2 using either Python or C++.
• Understanding of software quality control techniques and practices (automated unit…