Lead Software Engineer – Computer Vision & Automation (Transportation) - Careers at Leidos
Leidos
Lead Software Engineer – Computer Vision & Automation (Transportation) - Careers at Leidos
Job Description
Lead Software Engineer – Computer Vision & Automation (Transportation)
Join Leidos at the Federal Highway Administration’s Saxton Transportation Operations Laboratory (STOL) in McLean, VA, to revolutionize transportation with connected and automated vehicle (CAV) technologies. Shape the future of safety, mobility, and operations through cooperative driving automation (CDA), V2X, and AI-driven solutions.
Primary Responsibilities
- Lead software/system delivery for object recognition and automation in transportation apps, meeting technical/compliance standards.
- Serve as technical lead on medium-large projects with state/local DOTs, overseeing design/development/delivery.
- Drive business development via proposals and client partnerships.
- Decompose requirements into actionable tasks for team execution.
- Align solutions with stakeholders, managers, and regulations.
- Maintain documentation, reports, and contract deliverables.
- Mentor on advanced tech, automation, and secure practices.
- Estimate costs, schedules, and performance accurately.
Required Qualifications
- Master’s +5 years or Bachelor’s +7 years experience.
- 5+ years transportation object recognition/automation with camera/lidar/radar.
- Python/Java/C++ proficiency.
- Strong communication skills.
- Relational DB experience.
- Fast-paced research environment; 10% travel.
- Public Trust eligible (3/5 years US residency).
Preferred Qualifications
- Business development success in partnerships/revenue growth.
- Computer vision model design/training/deployment.
Full-time onsite in McLean, VA. US work authorization required. Explore STOL: STOL Lab. Apply to lead transportation innovation at Leidos.
Locations
- McLean, Virginia, United States
Salary
87,100 - 157,450 USD / yearly
87,100 - 157,450 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Object Recognitionintermediate
- Computer Visionintermediate
- Automationintermediate
- Pythonintermediate
- Javaintermediate
- C++intermediate
- Lidarintermediate
- Radarintermediate
- Camera Sensorsintermediate
- Relational Databasesintermediate
- Business Developmentintermediate
Required Qualifications
- Master’s degree with 5+ years or Bachelor’s with 7+ years relevant experience (experience)
- 5+ years object recognition/automation in transportation with camera/lidar/radar (experience)
- Hands-on Python/Java/C++ expertise (experience)
- Relational DB experience (Oracle/MySQL/PostgreSQL/SQL Server) (experience)
- Strong communication for cross-team collaboration (experience)
- Public Trust clearance eligible (3 years US residency in last 5) (experience)
- Travel up to 10% (experience)
Responsibilities
- Lead delivery of software/systems for object recognition/automation in transportation
- Technical lead on complex projects with state/local DOTs
- Support business development/proposal writing/client engagement
- Break down requirements into engineering tasks
- Collaborate with managers/stakeholders on mission alignment
- Develop documentation/reporting/deliverables
- Mentor engineers on advanced tech/automation/security
- Provide cost/schedule/performance estimates
Benefits
- general: Competitive salary $87,100-$157,450
- general: Full-time onsite in McLean, VA with FHWA lab
- general: Professional growth in cutting-edge CAV research
- general: Collaboration with DOTs and USDOT stakeholders
- general: Mentorship and leadership opportunities
- general: Public Trust clearance support
Tags & Categories
Answer 10 quick questions to check your fit for Lead Software Engineer – Computer Vision & Automation (Transportation) - Careers at Leidos @ Leidos.
Related Books and Jobs
Lead Software Engineer – Computer Vision & Automation (Transportation) - Careers at Leidos
Leidos
Lead Software Engineer – Computer Vision & Automation (Transportation) - Careers at Leidos
Job Description
Lead Software Engineer – Computer Vision & Automation (Transportation)
Join Leidos at the Federal Highway Administration’s Saxton Transportation Operations Laboratory (STOL) in McLean, VA, to revolutionize transportation with connected and automated vehicle (CAV) technologies. Shape the future of safety, mobility, and operations through cooperative driving automation (CDA), V2X, and AI-driven solutions.
Primary Responsibilities
- Lead software/system delivery for object recognition and automation in transportation apps, meeting technical/compliance standards.
- Serve as technical lead on medium-large projects with state/local DOTs, overseeing design/development/delivery.
- Drive business development via proposals and client partnerships.
- Decompose requirements into actionable tasks for team execution.
- Align solutions with stakeholders, managers, and regulations.
- Maintain documentation, reports, and contract deliverables.
- Mentor on advanced tech, automation, and secure practices.
- Estimate costs, schedules, and performance accurately.
Required Qualifications
- Master’s +5 years or Bachelor’s +7 years experience.
- 5+ years transportation object recognition/automation with camera/lidar/radar.
- Python/Java/C++ proficiency.
- Strong communication skills.
- Relational DB experience.
- Fast-paced research environment; 10% travel.
- Public Trust eligible (3/5 years US residency).
Preferred Qualifications
- Business development success in partnerships/revenue growth.
- Computer vision model design/training/deployment.
Full-time onsite in McLean, VA. US work authorization required. Explore STOL: STOL Lab. Apply to lead transportation innovation at Leidos.
Locations
- McLean, Virginia, United States
Salary
87,100 - 157,450 USD / yearly
87,100 - 157,450 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Object Recognitionintermediate
- Computer Visionintermediate
- Automationintermediate
- Pythonintermediate
- Javaintermediate
- C++intermediate
- Lidarintermediate
- Radarintermediate
- Camera Sensorsintermediate
- Relational Databasesintermediate
- Business Developmentintermediate
Required Qualifications
- Master’s degree with 5+ years or Bachelor’s with 7+ years relevant experience (experience)
- 5+ years object recognition/automation in transportation with camera/lidar/radar (experience)
- Hands-on Python/Java/C++ expertise (experience)
- Relational DB experience (Oracle/MySQL/PostgreSQL/SQL Server) (experience)
- Strong communication for cross-team collaboration (experience)
- Public Trust clearance eligible (3 years US residency in last 5) (experience)
- Travel up to 10% (experience)
Responsibilities
- Lead delivery of software/systems for object recognition/automation in transportation
- Technical lead on complex projects with state/local DOTs
- Support business development/proposal writing/client engagement
- Break down requirements into engineering tasks
- Collaborate with managers/stakeholders on mission alignment
- Develop documentation/reporting/deliverables
- Mentor engineers on advanced tech/automation/security
- Provide cost/schedule/performance estimates
Benefits
- general: Competitive salary $87,100-$157,450
- general: Full-time onsite in McLean, VA with FHWA lab
- general: Professional growth in cutting-edge CAV research
- general: Collaboration with DOTs and USDOT stakeholders
- general: Mentorship and leadership opportunities
- general: Public Trust clearance support
Tags & Categories
Answer 10 quick questions to check your fit for Lead Software Engineer – Computer Vision & Automation (Transportation) - Careers at Leidos @ Leidos.
Related Books and Jobs