Mid-level Software Engineer (Transportation/Computer Vision)

Job Overview 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 in a fast‑paced and collaborative laboratory environment to solve novel transportation research problems. Learn about STOL: CANDIDATE MUST Be able to work onsite full time in McLean, VA and have the ability to obtain and maintain a Public Trust security clearance (which includes current three years of immediate residency in the US). Primary Responsibilities Analyze and assess the team’s existing ITS 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, break down 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. Lead development for research prototypes and proof‑of‑concepts for various intelligent transportation systems (ITS) applications across a variety of ITS devices, including infrastructure, vehicle, and cloud systems. Participate in and help shape our open‑source software process, triage and address issues reported by external users, and evaluate third‑party code contributions. Identify, document, and formulate approaches to addressing areas of technical debt. Conduct hands‑on test events and demonstrations, on‑site at TFHRC and off‑site at test facilities. Minimal Qualifications Bachelor’s degree in computer science or engineering with a minimum of 4+ years of professional experience in object‑oriented software development, or a Master’s degree with at least 2 years of professional experience in object‑oriented software development. Minimum 1-2 years of hands‑on experience and familiarity with manual memory management in C++ and preferably experience with other programming languages (e.g., C, Java, or Python). Experience with Git. Experience with Docker (including docker‑compose). Experience developing in an Agile framework using tools 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.). Interest and motivation to develop software to answer valuable research questions to advance transportation technology (R&D environment). Understanding of mathematical fundamentals, including geometry, linear algebra, probability, graph theory, set theory, and statistics. Experience developing solutions to open‑ended research questions and developing novel approaches to solving problems. Strong ability and interest to learn new problem domains, new skills, algorithms, and concepts. Preferred Qualifications Strong communication skills and willingness to assist customers effectively, ensuring a positive experience in every interaction. Experience with transportation programs. Experience with Linux build systems and package management systems. 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 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 a software engineering team lead. Salary Anticipated Salary range for this role is $95,000 - $120,000. EEO Statement All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #J-18808-Ljbffr Leidos LLC