STR-posted about 3 hours ago
$134,000 - $184,000/Yr
Full-time • Mid Level
Hybrid • Arlington, VA
501-1,000 employees

STR’s Analytics C2 Division develops novel technologies to solve challenging national security problems through advanced analytics. Our team consists of passionate, 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 to improve mission success of our customers. The Collaborative Autonomy and Controls (CAC) Group in the Analytics C2 Division is focused on collaborative autonomy for multi-agent reconnaissance systems operating in multiple domains. By leveraging expertise with machine learning, advanced algorithms, and software development best practices, we build tools that can make a difference in mission planning, autonomous systems reasoning, tracking of illicit activities, and more. As a Senior Software Engineer, you will join a distributed, collaborative team working across STR’s Woburn, MA, and Arlington, VA offices to design, develop, and test advanced algorithms and intelligent software systems. You will play a key role in providing technical leadership and mentoring, contributing across the software lifecycle from concept to deployed systems. Your work will involve developing scalable, adaptable tools that support mission planning, multi-agent coordination, intelligent resource allocation, and efficient tasking for complex sensing systems. This is a hybrid role based in Arlington, VA, benefiting from STR's flexible work environment. When your tasks do not require access to on-site facilities, remote work options are available.

  • Active (or recent) security clearance, for which U.S. citizenship is needed by U.S. Government
  • Strong desire for active Top Secret clearance
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field with 5+ years of experience in software development
  • Proficient in Java and the Spring Cloud Framework for enterprise microservices
  • Experience with collaborative development using version control systems (e.g., Git)
  • Experience with cloud-native development, including microservice architecture, RESTful APIs, containerized deployments (Docker), container orchestration (Kubernetes, Helm charts), and modern DevOps practices such as CI/CD pipelines (GitLab)
  • Strong foundational knowledge of data structures, algorithms, concurrency in distributed systems, and code optimization techniques
  • Proficient in using the Linux command-line environment for debugging, scripting, and system-level operations
  • Proven expertise in validating and testing complex, mission-critical systems
  • Familiarity with Agile software methodologies and team collaboration tools (e.g., JIRA, Confluence)
  • Active Top Secret Clearance
  • Advanced degree (MS or PhD) in Computer Science or a related technical field
  • Experience with: Sensor fusion, geospatial data systems, or distributed sensing frameworks
  • Predictive modeling, machine learning techniques, and advanced data analysis for autonomous systems
  • Task/resource allocation, multi-agent coordination, and dynamic planning systems for autonomous platforms
  • Python fluency for developing robust test and automation pipelines, test frameworks, automation, and RESTful service testing
  • Proficiency with event-driven architectures or message-based systems (e.g., Kafka)
  • Knowledge of advanced mathematical methods, such as constraint optimization algorithms or probabilistic reasoning
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