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Leidos · 2 weeks ago

Lead Software Engineer – Computer Vision & Automation (Transportation)

McLean, VA

Full-time

Onsite

Senior Level, Lead/Staff

$87K/yr - $157K/yr

5+ years exp

Leidos is an industry and technology leader serving government and commercial customers. They are seeking a Lead Software Engineer to research and develop Connected and Automated Vehicle technologies, focusing on improving transportation safety and operations through computer vision technologies.

ComputerGovernmentInformation ServicesInformation TechnologyNational SecuritySoftware

No H1B

U.S. Citizen Only

Responsibilities

Lead delivery of software and system components that incorporate object recognition and automation for transportation applications, ensuring solutions meet both technical requirements and compliance standards

Serve as a technical lead on medium-to-large, complex projects in partnership with state and local Departments of Transportation (DOTs), providing oversight on design, development, and delivery

Support business development, including proposal writing and client engagement

Break down program and project-level requirements into actionable engineering tasks, supporting efficient execution by the development team

Collaborate with program managers, contracting officers, and agency stakeholders to align technical solutions with mission objectives and regulatory frameworks

Develop and maintain documentation, reporting artifacts, and deliverables required by contract and oversight authorities

Mentor engineers in applying advanced technologies, automation practices, and secure development principles to government solutions

Provide accurate cost, schedule, and performance estimates for development tasks

Qualification

Computer VisionAutomationProgramming LanguagesObject RecognitionRelational Database ManagementAgile MethodologiesCommunication SkillsMentoringSelf-Motivated

Required

Master's degree with 5+ years of relevant experience; OR Bachelor's degree with 7+ years of relevant experience

5+ years of experience with object recognition and automation in the transportation/automotive domain, including applied use in prototype and/or production systems with at least one of the following types of sensors: camera, lidar, and/or radar

Hands-on expertise with programming languages such as Python, Java, or C++

Strong written and verbal communication skills with ability to collaborate across diverse teams

Experience with at least one relational database management system (Oracle, MySQL, PostgreSQL, SQL Server, etc.)

Ability to work in a fast-paced, research-oriented environment with travel up to 10% for stakeholder engagement, testing, and site visits

Ability to obtain and maintain a Public Trust clearance (which includes three years of immediate residency in the US)

Preferred

Proven experience in business development, including identifying new market opportunities, building strategic partnerships, and driving portfolio/revenue growth

Designing, training, and deploying computer vision models (e.g., YOLO, TensorFlow, PyTorch, Core ML, or OpenCV) for detection, classification, and tracking in real-world environments

Implementing automation pipelines that integrate recognition systems into business or agency workflows, improving efficiency and accuracy

Developing and optimizing algorithms for real-time recognition tasks across varied conditions (e.g., lighting, environmental, and sensor constraints)

Integrating recognition systems into larger enterprise or agency platforms, including dashboards, analytics tools, and decision support systems

Working knowledge of Agile methodologies and development tools such as Jira, Bitbucket, and Confluence; Scrum Master certification is a plus

Experience delivering complete systems or applications, preferably for state and local DOTs, the Federal Highway Administration (FHWA), and/or USDOT ITS Joint Program Office

Self-motivated with a demonstrated ability to explore new tools, frameworks, and techniques