C+ Software Engineer - Cooperative Driving Applications

Description

Join us in improving and shaping the future of 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 mid-level C++ Software Engineer - Cooperative Driving Applications to join our team!

Primary Responsibilities:

• Lead C++ development for components of various cooperative driving applications (CDA) software systems, ranging from intelligent transportation systems to robotic/autonomous vehicle platforms to everything-in-the-loop simulation.
• Participate in and help shape our open-source software process, triaging and addressing issues reported by external users and evaluating 3rd party code contributions.
• Identify, document, and formulate approaches to addressing areas of technical debt.
• Analyze and assess the team's existing CDA software systems to understand their architecture, and how they can be redesigned into more modular, scalable, and maintainable components.
• Contribute to internal best practices for software development and lead knowledge sharing to support adoption across development teams.
• Work with cross-functional internal teams to determine technical feasibility of projects, breakdown project goals into software development tasks, and assist with overall effort and timeline estimation of planned work.
• Lead the execution of planned technical work, including design work, addressing unplanned technical challenges, and being responsive to changes in customer needs.
• 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.
• A Bachelor's degree in computer science or engineering with at least 4 years of professional experience in C++ software development, or a Master's degree with at least 2 years of professional experience in C++ software development.
• Experience using CMake for building C++ packages.
• Experience with Git.
• Experience with Docker (including docker-compose).
• Experience developing in an Agile framework using toolsets such as JIRA and Confluence.
• Proficiency in software quality techniques and practices (automated unit testing, test-driven design/development, CI/CD pipelines with GitHub Actions, static code analysis tools, etc.).
• Understanding of mathematical fundamentals, including geometry, linear algebra, probability, graph theory, set theory, and statistics.

Preferred Qualifications:

• Extensive experience designing, implementing, and maintaining C++ software packages in a Linux environment.
• Experience with Linux build systems and package management systems.
• Software development experience with Java and/or Python.
• Experience with Kafka or similar message broker systems.
• Experience with Robot Operating System (ROS).
• 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.
• Experience as software engineering team lead.