Lead Software Engineer
Are you driven to build cutting edge solutions for the nation’s technology needs?
At STR, we’re developing advanced capabilities that create a lasting impact on national security, gaining an edge on the unseen adversary through technology dominance.
About the Team:
STR’s Intelligence Division researches and develops advanced analytics and software solutions to solve challenging problems relevant to national security. Our team specializes in applying cutting-edge machine learning and computer vision in areas such as biometrics, target recognition and autonomous agents to solve national security and intelligence problems. We tackle complex technical challenges under stringent operational constraints by leveraging diverse skill sets from fields such as engineering, computer science, and applied machine learning.
Our projects focus on a wide range of data modalities—including biometric data, video imagery, geospatial, and radio-frequency data—powered by the latest advances in deep learning and statistical techniques. Our solutions have real-world impact, allowing U.S. Government analysts and operators to extract and enrich intelligence information across the globe. If you’re motivated by making a difference while working in a collaborative and fast-paced environment and have experience with systems integration, robust application development, and messaging pipelines, we’d like to hear from you.
The Role:
As a Lead Software Engineer, you will use your software development expertise to operationalize advanced algorithms across a broad range of computer vision programs. You will integrate Python-based machine learning pipelines with complex systems and ensure they are resilient, maintainable, and user-focused.
Collaborating closely with project leads and customers, you will:
Translate stakeholder requirements into system features and components in a deployable AI/ML solutions stack
Develop new user-facing features and implement robust backend architectures to support them.
Build, maintain, and test messaging systems, such as real-time data workflows and distributed processing pipelines.
Optimize software for data ingestion, transformation, and intelligent storage/retrieval pipelines.
Maintain and improve workflows for distributed systems, ensuring reliability and performance testing in operational environments.
Participate in cross-program collaboration, adapting to diverse projects and tools.
Our work involves projects of national significance, and the ability to work on-site in one of our Dayton, OH, Woburn, MA, or Arlington, VA locations (depending on candidate preference) will be required.
Who you are:
Motivated collaborator who takes pride in the craftsmanship of their solutions and demonstrates strong ownership throughout the lifecycle of development
Ability to implement and evaluate novel prototype solutions, and work with a team to mature promising prototypes into operational capabilities
Strong proficiency in python and demonstrated ability to generate clean, high quality code both with and without coding tools
Familiarity with software development best practices, including version control (Git), testing at scale (CI/CD), and agentic coding best practices
BS Degree in a scientific field such as Computer Science, Mathematics, Statistics, Data Science, or Physics with 8+ years of relevant experience. Equivalent experience will be considered.
Ability to obtain a security clearance, for which U.S citizenship is needed by the U.S government
Even Better
Development experience with advanced messaging or real-time processing tools like RabbitMQ, Kafka, or ZeroMQ
Experience with integration of computer vision algorithms and image processing tools (e.g., Pytorch, OpenCV, ffmpeg)
Experienced in leading and directing research initiatives from inception to functional prototypes
Experience working in a large cross-functional, distributed team
Experience with US Government software accreditation processes
Active security clearance
Pay Information
Full-Time Salary Range: $180,000 - $220,000
The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.