Senior Principal Software Engineer

10+ years of work-related software engineering and development experience with C, C++, or related languages.
Experience integrating a software system that consists of multiple sub-systems.
Experience with designing and implementing a large-scale modularized, reusable product base that supports multiple products.
Experience developing on Red Hat Linux or equivalent OS.
Experience leading a software team using Agile software development practices.
Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 10 years prior relevant experience or an Advanced Degree in a related field and minimum 7 years of experience.

Leading a small team for software-system integration and test activities.
Participation in collaborative, cross-disciplined integrated product teams, employing agile software development techniques and resources to plan, design, develop, test, and integrate complex software and systems solutions.
Technical Leadership of a software team, ownership of software product providing an innovative solution that meets or exceeds customer expectations.
Coordinating with multiple programs to ensure a stable product line base that supports multiple products.
Maintain a backlog to plan and track progress of feature development and issue resolution.
Collaborate with customer and user community to incorporate user feedback.
Responsibilities could span the full lifecycle of product development, from architecture and design, through integration, flight test, and field support.
Effectively communicate and present information to customers or stakeholders on software development progress and capabilities.
Travel to support system integration and test, customer events, and related external activities.

Experience with all phases of software development: architecture, design, implementation, testing, system integration, and sustainment.
Experience with Python, Git, Visual Studio Code, Jira, Gitlab, Docker, Kubernetes, Boost, GCC compilers.
Knowledge of Artificial Intelligence / Machine Learning, Data Engineering, and relevant tools.
Knowledge of modeling and simulation frameworks.
Experience developing and integrating with an open system architecture.
Domain knowledge in one or more of the following areas: Network Communications, Datalinks and Platform Integration.
Master of Science degree (M.S.) in Software Engineering, Computer Engineering, Computer Science, Electrical Engineering, Math, Physics or related field.