Shield AI, founded in 2015, is a venture-backed defense technology company on a mission to protect service members and civilians with intelligent systems. As a Staff Software Engineer for Build & Release on the Hivemind team, you'll play a crucial role in developing, integrating, and distributing their cutting-edge autonomy SDK. This SDK is the foundation for AI-powered autonomy solutions deployed across specialized platforms.
Your responsibilities will include:
- Build System and Dependency Management: Architecting and optimizing C++ build systems using CMake and Makefiles, managing dependencies with Conan, and working with package management tools like Debian.
- Optimization and Profiling: Identifying and addressing build performance bottlenecks, implementing optimizations, and applying best practices in compiler and linker configurations.
- Linux Expertise: Leveraging Linux-based development skills to enhance SDK builds across distributions like Ubuntu and RHEL, and developing automation scripts.
- Version Control and Branching Strategies: Collaborating with autonomy engineers to support codebase management and improve workflows.
Required qualifications include:
- 7+ years of related experience (or equivalent with advanced degrees)
- 5+ years in build and release engineering, preferably in C++ environments
- Proficiency with CMake and Linux development
- Experience with C++ package management tools like Conan
- Experience with CI/CD tools, automated pipelines, and virtualized environments
Preferred qualifications:
- Deep Conan expertise
- Adaptability and quick learning skills
- Experience working in large mono-repo or poly-repo projects with 100+ developers
This role offers a competitive salary range of $150,697 - $226,046 per year, plus bonus, benefits, and equity for regular employees. The company has offices in San Diego, Dallas, Washington DC, and abroad, with products actively supporting operations with the U.S. Department of Defense and U.S. allies.
Join Shield AI to contribute to cutting-edge AI technology in the defense sector and be part of a team building the world's best AI pilot.