C++ Junior Software Engineer – Cooperative Driving Applications

Leidos hiring for C++ Junior Software Engineer – Cooperative Driving Applications jobs in Potomac, MD, US

Description

Join us in improving and shaping the future of the smart mobility with a group of intelligent, motivated, and dedicated individuals! Leidos operates the Federal Highway Administration’s (FHWA) Saxton Transportation Operations Laboratory (STOL), a US Department of Transportation (USDOT) onsite R&D lab located at the Turner Fairbank Highway Research Center. STOL’s focus is on improving transportation system operations to achieve USDOT’s safety, mobility, sustainability and equity goals. STOL spearheads a variety of exciting R&D projects involving emerging technologies, including but not limited to infrastructure and vehicle connectivity and automation, everything-in-the loop simulation, and AI/ML modeling.  To promote these efforts, Leidos is looking for a C++ Junior Software Engineer – Cooperative Driving Applications (CDA) to join our team!

Learn more at STOL here: STOL

Primary Responsibilities:

• Conduct C++ development for components of various CDA software systems, ranging from intelligent transportation systems to robotic/autonomous vehicle platforms to everything-in-the-loop simulation.
• Develop unit tests for software packages in support of continuous integration, while also conducting integration testing both in-vehicle and in a simulation environment.
• Support system integration testing both onsite in Mclean, VA, as well as offsite as necessary to meet project deliverable timelines.
• Contribute to the maintenance and enhancement of the operation of the USDOT open source connected and automated vehicle tools, such as CARMA Streets, CARMA Platform, and V2XHub.
• Directly interact with on-site customer representatives and external stakeholders to communicate across technical disciplines as needed throughout a project’s life cycle.

Minimal Qualifications:

• Ability to obtain and maintain a Public Trust security clearance (which includes three years immediate residency in the US).
• Interest in working with emerging technologies and shaping the future of transportation.
• BS degree or equivalent experience and less than 2 years prior relevant experience.
• Experience developing, testing, and troubleshooting software written in C++ in a Linux environment.
• Basic familiarity with software quality techniques and practices (automated unit testing, test-driven design/development, CI/CD pipelines with GitHub Actions, static code analysis tools, etc.).
• Basic understanding of mathematical fundamentals, including geometry, linear algebra, probability, graph theory, set theory, and statistics.
   

Preferred Qualifications:

• Experience with Linux build systems and package management systems.
• Software development experience with Java and/or Python.
• Experience using CMake for building C++ packages.
• Experience developing in an Agile framework using toolsets such as JIRA and Confluence.
• Experience with Kafka or similar message broker systems.
• Experience with Robot Operating System (ROS).
• Experience with Git.
• Experience with Docker (including docker-compose).
• Experience with user interface (UI) and/or front-end development.
• Familiarity with distributed computing and cloud computing concepts.
• Familiarity with one or more robotics concepts such as localization, path planning, perception, or sensor fusion.
• Familiarity with simulation environments such as SUMO or CARLA, or other simulators built in Unreal or Unity.
• Familiarity with existing CDA infrastructure standards and/or hardware such as those from SAE or IEEE.
• Experience in a fast-paced dynamic R&D environment.

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.

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.