About The Position

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 in order to improve mission success of our customers. The Collaborative Autonomy and Controls (CAC) Group in the Analytics 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 Lead Software Engineer, you will work as part of a tightly knit team to design, develop, implement, and demonstrate advanced algorithms and software systems. You will provide technical leadership and mentoring on programs working throughout the software lifecycle, from early prototypes to integrated systems. Your work will develop a diverse set of software tools and applications for mission planning systems, automated enterprise control processes, unmanned platforms, DevSecOps, and CI/CD pipelines. This position 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.

Requirements

  • Ability to obtain a security clearance, for which U.S. citizenship is needed by U.S. Government
  • BS in Computer Science or related technical field with 7+ years’ experience
  • 8+ years in-depth OOP experience with Java and/or C++
  • Proven understanding of data structures, algorithms, concurrency, and code optimization
  • Proven ability to lead small to medium size agile teams in overall software design, definition/status/completion of tasking, mentorship of junior staff, accountability to both internal leadership and customers
  • Experience utilizing the following: Micro-service architectures
  • DevOps and CI/CD pipelines (Gitlab)
  • Containerization/orchestration tools such as Docker and Kubernetes
  • Agile software lifecycle methodologies and tools, such as Confluence, JIRA and Sonarqube (Static analysis)
  • Test-driven development methodologies and familiarity with a layered test strategy (unit, component, system, nightly tests).
  • A demonstrated ability to adopt new languages, libraries, and technologies

Nice To Haves

  • MS or PhD in Computer Science or related technical field
  • Experience in one or more of the following: motion planning, perception, localization, mapping, controls, and related system performance metrics
  • Domain experience in ISR Sensors, Tracking, or Mission Planning
  • Python fluency
  • Experience with Kafka, Protobuf, REST
  • Experience with reinforcement learning (RL) training pipelines, deployment scripting & automated analysis
  • Active Security Clearance
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