Software Development Engineer (TS/SCI)

Vantor•Herndon, VA

5d•$116,000 - $169,400•Onsite

About The Position

Vantor is hiring a Software Development Engineer to help identify, develop, and mature AI/ML and computer vision capabilities, including Automatic Target Recognition (ATR). The engineer will combine internally developed technologies with proven industry solutions to build scalable, high-performance capabilities, and work across R&D teams to move successful technologies into broader use for customers. The role requires U.S. citizenship and an active U.S. Government TS/SCI security clearance; employment is contingent on verification of clearance status. The selected candidate must be willing to obtain a CI Polygraph. The position involves work across the full software development lifecycle, from planning and requirements through design, implementation, documentation, testing, deployment, and maintenance. The role also includes developing analytics and derivative data products, addressing software issues, and collaborating with engineers, clients, and users. The Washington, DC metropolitan area base pay range is $116,000–$154,000–$169,400 annually; pay varies based on qualifications, experience, location, and market conditions.

Requirements

U.S. citizenship and an active TS/SCI clearance; willingness to obtain a CI Polygraph.
Bachelor’s degree in computer science, information systems, software engineering, or a related field; four additional years of experience may substitute for a bachelor’s degree, and a master’s degree may count as an additional two years of experience.
At least four years of demonstrated professional experience with programming, design, and/or development.
Experience working with data in software applications, such as extracting or transforming data for a feature or product.
Familiarity with modern software development tools, DevSecOps practices, and CI/CD pipelines.
Working proficiency in one multiparadigm programming language, preferably Python or C++.
Working knowledge of Linux-based environments.
Strong problem-solving mindset and adaptability, with the ability to leverage emerging technologies to solve mission challenges.

Nice To Haves

Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities simultaneously.
Ability to troubleshoot routine issues, collaborate with teammates and users, and take feedback on technical work.
Familiarity with designing, developing, testing, and deploying AI/ML or computer vision models across diverse data types.
Ability to design, develop, and deploy AI-native software products that turn large-scale geospatial data into actionable intelligence and mission-critical insights.

Responsibilities

Design and implement efficient, flexible solutions that scale for mission-critical applications.
Contribute throughout the development lifecycle, including planning, requirements development, software design, implementation and build, documentation, testing, deployment, and maintenance.
Apply software standards and processes to test, troubleshoot, and patch vendor-provided software.
Develop analytics and derivative data products that help users extract meaningful knowledge.
Troubleshoot and solve problems proactively.
Collaborate with diverse teams of engineers, clients, and users.
Identify, develop, and mature AI/ML and computer vision capabilities, including Automatic Target Recognition (ATR).
Combine internally developed technologies with industry solutions to build scalable, high-performance capabilities.
Work across R&D teams to transition successful technologies into broader use.
Design, develop, and deploy AI-native software products that transform large-scale geospatial data into actionable intelligence and mission-critical insights. (Preferred qualification)