Senior Software Engineer – Autonomy Software

• Architect and develop advanced software for multi-vehicle autonomy for complex, contested environments
• Provide relevant technical expertise as part of a team to design, implement, and test autonomy software systems for embedded uncrewed multi-vehicle autonomy
• Support presentation of technical results to internal and external customers
• Support integration of existing work into a unified software architecture
• Develop software for advanced AI/ML programs relating to autonomous flight systems and crewed-uncrewed collaboration
• May require occasional travel to remote test events

• Bachelor’s degree (or higher) in Math, Statistics, Engineering, Physical Science, Computer Science, Operations Research, Data Science
• 4+ years of experience in software development/R&D of AI for Robotics, Machine Learning, Robot Planning/Optimization Techniques, and/or Autonomous Uncrewed Systems Software
• Experience developing modular, maintainable, production-quality autonomy software
• Experience developing using C/C++, Python, and (optional but desired) relevant memory-safe languages
• Experience with and/or understanding of modern software development tool chains and processes (Agile, git/Gitlab/Github, Confluence/Jira, CI/CD, Conan, Sonar Qube, automated test methodologies, etc.)
• Desired:
  Familiarity with DoD or other common robotics and datalink architecture standards (e.g. OMS/UCI, A-GRA, WOSA, FACE, DDS, ROS, STANAG 4586, J-Series, AFSIM, etc.)
• Desired:
  Familiarity with AI robotic navigation and decision algorithms - path planning (A*, RRT), schedule optimization (Simulated Annealing, Genetic Algorithms, Tabu Search), distributed coordination algorithms
• Familiarity with Linux-based development environments is highly desired
• Must be able to effectively communicate orally and possess technical writing skills
• Strong collaboration skills in multi-disciplinary autonomy, vehicle systems, and systems engineering teams
• Must be able to work effectively as part of an integration-focused development team
• Must be able to obtain and maintain a United States DOD Security Clearance

Demonstrates expertise in developing advanced software for multi-vehicle autonomy, with a strong focus on AI/ML applications in autonomous flight systems. Proficient in modular software design, integration, and collaboration within multi-disciplinary teams, while effectively communicating technical results.

• C/C++ Development
• Python Programming
• AI/ML for Robotics
• Agile Software Development
• DOD Security Clearance

• Software Development
• Autonomy Software Systems
• Robot Planning Techniques
• Machine Learning
• Production-Quality Software
• Modular Software Design
• Path Planning Algorithms
• Schedule Optimization Algorithms
• Linux Development Environments
• Automated Testing Methodologies

• Effective Communication
• Collaboration Skills
• Technical Writing

• Autonomous Uncrewed Systems
• Robotics Standards
• Datalink Architecture
• Multi-Vehicle Autonomy
• Integration-Focused Development

• Git/Gitlab/Github
• Confluence
• Jira
• CI/CD
• Sonar Qube
• Conan