About the Team:ย
STR's Analyticsย & C2ย Division develops novel technologies to solve challenging national security problems through advanced analytics. Our team consists of passionate and motivated individuals with degrees in engineering, computer science, mathematics, physics, and data science. We use ourย expertiseย and creativity to take innovative ideas from conception to mature implementationย in order toย improve mission success.ย
Theย Collaborative Autonomy and Controlย (CAC) Group in the AC2ย Division works toย build software systems that solve critical problems in the areas of uncrewed system autonomy, multi-agent collaboration, resource management, and control. Byย leveragingย expertiseย inย machine learning, algorithms,ย model-predictive control,ย and software development, we build tools thatย supportย tacticalย mission planningย and execution, autonomous reasoning, and more.ย
The Role:ย
As an Autonomy Algorithmsย Leadย Software Engineer,ย you will work as part of a tightly knit team to design, develop, implement, integrate, test, andย demonstrateย advanced algorithms and software systems for autonomous platforms. You will provide technical leadership and mentoring on programs working throughout the software and system development lifecycle, from early prototypes to integrated systems. Your work will develop a diverse set of software tools and applications for mission planning systems, automated control processes, unmanned platforms,ย DevSecOps, and CI/CD pipelines. This position is based in Woburn, MAย orย Arlington, VA,ย and will take advantage of STR's flexible, hybrid environment - when the work does not require use of STR's facilities, you are welcome to work remotely.ย ย
Who You Are:ย
- Active Top Secret clearance with SCI eligibility, for which U.S citizenship is needed by the U.S government
- BS in Computer Science or related technical field withย 7+ yearsย ofย experience
- 5+ years of experience with C++ or Java
- Full stack development experience with a heavy focus on backend algorithmic development
- Proven understanding of data structures, algorithms, concurrency, and code optimization of backend executables
- Proven ability to develop, implement, integrate, and test autonomy algorithms and software
- Not interested in Front end UI/UX or database management/interaction
- Proven ability to work with research scientists to transition complex mathematical algorithmic concepts to software application
- Proven ability to proactively lead and manage modest size engineering teams (5+ engineers) through complete Agile development lifecycle including task definition, delegation, and maintenance
- Demonstrated success driving industry best practices in areas such as code review, unit testing, test coverage, static analysis, etc., to ensure mature, high quality software products
- Experience in leading system/software architecture design ย
- Comfortable working both with internal leadership and external customers in the development and execution of software product plans
- Experience utilizing the following:ย
- Object-Oriented Programming principles for large scale systems
- Agile software lifecycle methodologies and tools, such as JIRA, Confluence, Gitlab, static analysis, etc
- Test-driven development methodologiesย
- A demonstrated ability to adopt new languages, libraries, and technologiesย
Even Better:ย
- MS or PhD in Computer Science or related technical field
- Experience with the following: ย
- Collection Orchestration
- Satellite Constellation Management
- Containerization and service-based architectures
- Coordinating Electronic Warfare resources
- Reinforcement learning
- Agentic AI
- Programming for embedded and physical devices
- Multi-agent coordination of UxVs
- MAVLINK or other C2 protocols
- ROS
- TAK
- DevSecOps and CI/CD tool chains
- Constraint satisfaction algorithms
- Knowledge representation/ontologies
- Pythonย
Pay Information
Full-Time Salary Range: $173,000 - $216,000
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.