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STR’s Analytics C2 Division develops novel technologies to solve challenging national security problems through advanced analytics. 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.
Job Responsibility:
Design, develop, implement, and demonstrate advanced algorithms and software systems
Provide technical leadership and mentoring on programs working throughout the software lifecycle, from early prototypes to integrated systems
Develop a diverse set of software tools and applications for mission planning systems, automated enterprise control processes, unmanned platforms, DevSecOps, and CI/CD pipelines
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 have:
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