Senior Software Engineer, Air & Missile Defense

Job description

Job responsibilities

• Help shape the technical direction of a small, high-impact team while remaining deeply hands-on in design, implementation, and code review
• Mentor and uplevel junior and mid-level engineers through pair programming, code reviews, technical guidance, and architectural discussions
• Lead by example by writing production-quality C++ and Python that powers mission-critical systems, while setting the bar for engineering excellence (CI/CD, unit testing, large-codebase collaboration, git workflows)
• Prototype state-of-the-art software solutions in an agile development environment and guide the team through the path from prototype to deployed, tactical implementation
• Implement high-performance software spanning the spectrum from tactical systems to web applications
• Use high-fidelity modeling and simulation environments, innovative analysis tools, and sound analysis techniques to quantify the benefit of our technology
• Drive technical interchange meetings, sprint planning, and customer engagements to ensure successful outcomes for mission-critical needs
• Own all aspects of the software development lifecycle, helping the team navigate ambiguity and complex technical trade-offs

Job requirements

• 8+ years of software engineering experience and a Bachelor's degree or equivalent education/work experience
• Demonstrated experience mentoring junior engineers and providing technical leadership on a team, while continuing to contribute as a hands-on individual contributor
• Experience supporting and navigating large, complex codebases as part of a collaborative team
• Strong proficiency in C/C++ and Python
• Direct experience in air and missile defense domains, such as multi-target tracking, sensor fusion, threat classification, kill chain development, or command-and-control systems (e.g., IBCS, Patriot, Aegis, or similar…
• Big data/NoSQL/database technologies
• Software engineering: software design, algorithm implementation, and software analysis, testing, and optimization
• Applied mathematics: differential equations, linear algebra, optimization, statistics, and random processes