Staff Software Engineer, C++ Software Integration (R4018)

What You'll Do

• Architect and implement high-performance C++ and Python systems across cross-platform environments.
• Lead the design and integration of distributed systems, simulation tools, and third-party hardware/software.
• Define and enforce technical direction, design patterns, and integration practices across projects.
• Guide teams in building robust messaging and API layers (gRPC, REST, ZeroMQ) that bridge critical system components.
• Own the evolution and support of CI/CD pipelines using GitLab CI, Docker, Conan, and CMake.
• Lead debugging and optimization of real-time and multi-threaded systems across a range of domains.
• Drive end-to-end integration efforts, including planning, implementation, and verification across simulation and operational systems.
• Serve as a force multiplier by mentoring other engineers and contributing to shared tooling and process improvements.
• Evaluate and incorporate new technologies that improve system performance, stability, and developer efficiency.

Required Qualifications

• Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.
• Advanced experience designing and maintaining large C++ systems, with fluency in C++14/17/20 and comfort navigating legacy C++98/03 codebases.
• Proficiency in Linux/Unix environments, including system-level development and debugging tools.
• Strong systems integration background with practical experience in distributed systems, real-time processing, and hardware/software interfaces.
• Significant experience with CI/CD systems, containerization (Docker), and build tooling (CMake, Conan).
• Proficiency in Python and familiarity with other scripting and automation tools.
• Deep knowledge of Linux environments (Windows experience is a bonus).
• Demonstrated success leading efforts involving 10+ contributors, including technical planning and mentorship.
• Strong understanding of networking concepts and communication protocols.
• Active SECRET clearance.

Preferred Qualifications

• Real-time or distributed simulation experience (AFSIM, NGTS, or similar).
• Familiarity with message-passing infrastructure and web-service technologies like gRPC, REST APIs, and message queues.
• Familiarity with open standards like UCI and OMS, and an understanding of data buses and interface protocols common in avionics and aircraft systems.
• Experience integrating simulation with autonomy frameworks or real-time operators.
• Experience developing and integrating with modeling or analysis pipelines.
• Ability to obtain a TS/SCI clearance.