Senior Staff Engineer, Software Autonomy Applications

Shield AI, a pioneering defense technology company founded in 2015, is seeking a Senior Staff Engineer to join their Software Autonomy Applications team. This role sits at the intersection of cutting-edge autonomous systems development and defense technology, working with the company's Hivemind Enterprise platform and various autonomous systems products.

The position offers an exciting opportunity to work on meaningful projects that directly impact service members' and civilians' safety through intelligent, autonomous systems. As a Senior Staff Engineer, you'll be instrumental in developing and implementing AI & Autonomy applications while working closely with customers to ensure successful integration of Shield AI's enterprise software products.

The role requires a strong technical foundation, particularly in C++ and Python programming, combined with excellent customer-facing skills. You'll be responsible for becoming an expert in the Hivemind enterprise software stack and using this knowledge to support customers, develop applications, and contribute to product improvement. The position involves both technical development and customer engagement, making it ideal for engineers who excel at both coding and communication.

Shield AI offers a competitive compensation package, including a salary range of $174,200 - $261,301, plus bonus, benefits, and equity. The company has a global presence with offices in San Diego, Dallas, Washington, D.C., Abu Dhabi, Kyiv, and Melbourne, though this position is based in the Washington DC Metro Area.

The ideal candidate will bring 7+ years of industry experience, including significant time in integration/applications engineering and startup environments. This role presents an opportunity to work with cutting-edge technology in the defense and autonomy space while making a meaningful impact on critical safety and security applications. The position offers growth potential within a rapidly expanding company that's at the forefront of autonomous systems development.