Senior Software Engineer

About the Team:

STR’s Analytics 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 our expertise and creativity to take innovative ideas from conception to mature implementation in order to improve mission success of our customers.

The Collaborative Autonomy and Control (CAC) Group in the Analytics Division works to build software systems that solve critical problems in the areas of uncrewed system autonomy, multi-agent collaboration, resource management, and control. By leveraging expertise in machine learning, algorithms, model-predictive control, and software development, we build tools that support tactical mission planning and execution, autonomous reasoning, and more.

The Role:

As a Senior Software Engineer, you will work as part of a tightly knit team to design, develop, implement, integrate, test, and demonstrate 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, DevSecOps, and CI/CD pipelines.

This position is based in Woburn, MA, Arlington, VA, or Dayton, OH, 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.   

Who You Are:

• Ability to obtain a security clearance for which U.S. Citizenship is needed by the U.S government
• BS in Computer Science or related technical field with minimum of 5+ years’ relevant experience (or equivalent experience)
• 3+ years experience with C++ or Java
• Proven understanding of data structures, algorithms, concurrency, and code optimization
• Proven ability to lead and manage moderate size engineering teams (2-4 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  
• Comfortable working both with internal leadership and external customers in the development and execution of software product plans
• Experience utilizing the following: 
  • Object-Oriented Programming principles
  • Agile software lifecycle methodologies and tools, such as JIRA and Sonarqube
  • Test-driven development methodologiespythonjavagoawsmachine learningaidataanalyticsproductdesign