STR · 1 day ago
Lead Software Engineer – Collaborative Autonomy and Controls
Systemstechnologyresearch is a growing technology company specializing in advanced research and development for defense, intelligence, and national security. The Lead Software Engineer will design, develop, implement, and demonstrate advanced algorithms and software systems while providing technical leadership and mentoring throughout the software lifecycle.
Artificial Intelligence (AI)Machine Learning
Responsibilities
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
Qualification
Required
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 micro-service architectures
Experience with DevOps and CI/CD pipelines (Gitlab)
Experience with containerization/orchestration tools such as Docker and Kubernetes
Experience with Agile software lifecycle methodologies and tools, such as Confluence, JIRA and Sonarqube (Static analysis)
Experience with 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
Preferred
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