North American Transportation Management Institute
Lead Software Engineer - Computer Vision & Automation (Transportation)
North American Transportation Management Institute, San Diego, California, United States, 92189
Lead Software Engineer - Computer Vision & Automation (Transportation)
Location:
McLean, VA (full‑time at the customer site)
Leidos invites you to join the Leidos team operating the Federal Highway Administration (FHWA)’s
Saxton Transportation Operations Laboratory (STOL) , a USDOT research lab that focuses on improving transportation operations, safety, mobility, and environmental impacts. STOL champions emerging technologies such as cooperative driving automation (CDA) and Vehicle‑to‑Everything (V2X) to revolutionize transportation.
Learn about STOL here:
https://highways.dot.gov/turner-fairbank-highway-research-center/labs/STOL
Eligibility:
Candidates must be US citizens or Green Card holders, currently in the United States, for the past three consecutive years and eligible for a Public Trust Clearance.
In this role you will research and develop Connected and Automated Vehicle (CAV) technologies, leading computer vision projects that support and optimize advanced transportation systems such as ITS, CDA, C‑V2X, CAV, and AI‑driven predictive modeling. You will partner with state and local Departments of Transportation (DOTs) to identify opportunities and create business development initiatives.
Primary Responsibilities
Lead delivery of software and system components incorporating object recognition and automation for transportation applications, ensuring compliance with technical and regulatory standards.
Serve as a technical lead on medium‑to‑large complex projects in partnership with DOTs, overseeing design, development, and delivery.
Support business development, including proposal writing and client engagement.
Break down program and project requirements into actionable engineering tasks to enable efficient execution.
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.
Required Qualifications
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 prototype or production systems using camera, lidar, and/or radar sensors.
Hands‑on expertise in Python, Java, or C++ programming.
Strong written and verbal communication skills with the 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 up to 10% travel for stakeholder engagement, testing, and site visits.
Ability to obtain and maintain a Public Trust clearance (including three years of immediate U.S. residency).
Preferred Qualifications
Experience in business development, identifying new market opportunities, building strategic partnerships, and driving portfolio 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 to improve efficiency and accuracy.
Developing and optimizing algorithms for real‑time recognition tasks under varied conditions.
Integrating recognition systems into larger enterprise or agency platforms, including dashboards, analytics tools, and decision‑support systems.
Knowledge of Agile methodologies and 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, FHWA, and/or USDOT ITS Joint Program Office.
Self‑motivated with a track record of exploring new tools, frameworks, and techniques.
Anticipated salary range for this role is $95,000‑$130,000.
Commitment to Non‑Discrimination 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.
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McLean, VA (full‑time at the customer site)
Leidos invites you to join the Leidos team operating the Federal Highway Administration (FHWA)’s
Saxton Transportation Operations Laboratory (STOL) , a USDOT research lab that focuses on improving transportation operations, safety, mobility, and environmental impacts. STOL champions emerging technologies such as cooperative driving automation (CDA) and Vehicle‑to‑Everything (V2X) to revolutionize transportation.
Learn about STOL here:
https://highways.dot.gov/turner-fairbank-highway-research-center/labs/STOL
Eligibility:
Candidates must be US citizens or Green Card holders, currently in the United States, for the past three consecutive years and eligible for a Public Trust Clearance.
In this role you will research and develop Connected and Automated Vehicle (CAV) technologies, leading computer vision projects that support and optimize advanced transportation systems such as ITS, CDA, C‑V2X, CAV, and AI‑driven predictive modeling. You will partner with state and local Departments of Transportation (DOTs) to identify opportunities and create business development initiatives.
Primary Responsibilities
Lead delivery of software and system components incorporating object recognition and automation for transportation applications, ensuring compliance with technical and regulatory standards.
Serve as a technical lead on medium‑to‑large complex projects in partnership with DOTs, overseeing design, development, and delivery.
Support business development, including proposal writing and client engagement.
Break down program and project requirements into actionable engineering tasks to enable efficient execution.
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.
Required Qualifications
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 prototype or production systems using camera, lidar, and/or radar sensors.
Hands‑on expertise in Python, Java, or C++ programming.
Strong written and verbal communication skills with the 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 up to 10% travel for stakeholder engagement, testing, and site visits.
Ability to obtain and maintain a Public Trust clearance (including three years of immediate U.S. residency).
Preferred Qualifications
Experience in business development, identifying new market opportunities, building strategic partnerships, and driving portfolio 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 to improve efficiency and accuracy.
Developing and optimizing algorithms for real‑time recognition tasks under varied conditions.
Integrating recognition systems into larger enterprise or agency platforms, including dashboards, analytics tools, and decision‑support systems.
Knowledge of Agile methodologies and 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, FHWA, and/or USDOT ITS Joint Program Office.
Self‑motivated with a track record of exploring new tools, frameworks, and techniques.
Anticipated salary range for this role is $95,000‑$130,000.
Commitment to Non‑Discrimination 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