Autonomy Algorithms Lead Software Engineer

STRArlington, TX
Hybrid

About The Position

As an Autonomy Algorithms Lead 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.

Requirements

  • Active Top Secret clearance with SCI eligibility, for which U.S citizenship is needed by the U.S government
  • BS in Computer Science or related technical field with 7+ years of experience
  • 5+ years of experience with C++ or Java
  • Full stack development experience with a heavy focus on backend algorithmic development
  • Proven understanding of data structures, algorithms, concurrency, and code optimization of backend executables
  • Proven ability to develop, implement, integrate, and test autonomy algorithms and software
  • Not interested in Front end UI/UX or database management/interaction
  • Proven ability to work with research scientists to transition complex mathematical algorithmic concepts to software application
  • Proven ability to proactively lead and manage modest size engineering teams (5+ 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 Object-Oriented Programming principles for large scale systems
  • Experience utilizing Agile software lifecycle methodologies and tools, such as JIRA, Confluence, Gitlab, static analysis, etc
  • Experience utilizing Test-driven development methodologies
  • A demonstrated ability to adopt new languages, libraries, and technologies

Nice To Haves

  • MS or PhD in Computer Science or related technical field
  • Experience with Collection Orchestration
  • Experience with Satellite Constellation Management
  • Experience with Containerization and service-based architectures
  • Experience Coordinating Electronic Warfare resources
  • Experience with Reinforcement learning
  • Experience with Agentic AI
  • Experience Programming for embedded and physical devices
  • Experience with Multi-agent coordination of UxVs
  • Experience with MAVLINK or other C2 protocols
  • Experience with ROS
  • Experience with TAK
  • Experience with DevSecOps and CI/CD tool chains
  • Experience with Constraint satisfaction algorithms
  • Experience with Knowledge representation/ontologies
  • Experience with Python

Responsibilities

  • Design, develop, implement, integrate, test, and demonstrate advanced algorithms and software systems for autonomous platforms.
  • Provide technical leadership and mentoring on programs working throughout the software and system development lifecycle, from early prototypes to integrated systems.
  • Develop a diverse set of software tools and applications for mission planning systems, automated control processes, unmanned platforms, DevSecOps, and CI/CD pipelines.
  • Lead and manage modest size engineering teams (5+ engineers) through complete Agile development lifecycle including task definition, delegation, and maintenance.
  • Drive industry best practices in areas such as code review, unit testing, test coverage, static analysis, etc., to ensure mature, high quality software products.
  • Lead system/software architecture design.
  • Work with research scientists to transition complex mathematical algorithmic concepts to software application.
  • Adopt new languages, libraries, and technologies.

Benefits

  • Flexible, hybrid environment
  • STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members.
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