Shield AI, a pioneering deep-tech company founded in 2015, is revolutionizing autonomous aviation with cutting-edge AI and GPS/RF-denied navigation technologies. They are currently developing a next-generation aircraft equipped with Hivemind autonomy, pushing the boundaries of innovation and performance. The company is seeking a Lead Software Test Engineer to join their Software Integration & Operations team in Dallas.
The role involves leading the testing strategy and infrastructure development for next-generation aircraft systems, covering components from autonomy to embedded systems and ground control applications. The position requires architecting scalable, automated test infrastructure and validating mission-critical behaviors across simulation and real aircraft environments.
This is an exceptional opportunity for an experienced software test engineer to make a significant impact in aerospace and autonomous systems. The role combines technical leadership with hands-on development, requiring expertise in Python/C++, continuous integration, and real-time systems testing. The position offers competitive compensation ($175,000-$260,000) plus bonus, benefits, and equity.
The ideal candidate will have 7+ years of experience, strong technical skills, and the ability to work independently in a fast-paced environment. They will lead cross-functional efforts, working with various teams to ensure the highest quality standards for aircraft systems. This role is perfect for someone passionate about autonomous systems, aviation, and building robust testing infrastructure for mission-critical applications.