Shield AI jobs

Shield AI seeks a Senior Systems Engineer for its Hivemind Solutions division to design, develop, and integrate complex autonomous systems across multiple U.S. locations (San Diego, DC, Boston, San Francisco, Dallas). You'll manage system requirements, develop architectures, coordinate hardware-software interfaces, and lead integration and validation activities for autonomy-powered products including unmanned aircraft. The role requires 5+ years of systems engineering experience (or equivalent via advanced degree), a STEM degree, strong grasp of MBSE practices, C++/Python proficiency, and ability to read engineering drawings; US citizenship and Secret clearance eligibility are mandatory. Shield AI is a venture-backed deep-tech company founded in 2015 with global operations supporting real-world autonomous systems and unmanned vehicles. Compensation ranges $110k–$170k annually plus bonus and equity; the role is full-time, on-site, and requires clearance as a hard requirement, making this ideal for candidates with government security backgrounds.

Shield AI, a defense-tech company building autonomous aircraft and AI systems, is hiring a Senior Trade Compliance Specialist for its Legal Division to manage export authorizations and ensure adherence to ITAR and EAR regulations across global operations. The role involves preparing and submitting export license applications, interfacing with U.S. regulatory agencies (DDTC, BIS), classifying controlled products and technologies, and advising cross-functional teams on compliance requirements. You'll need a bachelor's degree plus 5+ years of relevant trade compliance experience (or an advanced degree with 2+ years), hands-on expertise with export authorizations, and proficiency in compliance tools like DECCS and SNAP-R. The position is on-site in Washington DC, San Diego, Dallas, or San Francisco, with compensation of $78K–$120K plus bonus, benefits, and equity for full-time hires. This is a mission-critical role for a venture-backed defense contractor with global operations, and requires the ability to balance strict regulatory compliance with business velocity in a high-growth environment.

Senior Software Engineer at Shield AI's Autonomy Capabilities team, developing autonomous behaviors for unmanned aerial, ground, sea, and space vehicles. You'll own autonomy software components end-to-end—from design through deployment—working on mission-critical tasks like multi-agent coordination, target engagement, and reconnaissance across platforms including Shield AI's V-BAT and partner vehicles like the Anduril Fury. Responsibilities include implementing tactical autonomy software, designing scalable system components, collaborating with hardware and test teams, and supporting integration with internal and external partners. Required: BS/MS/PhD in CS, Aerospace Engineering, Robotics, or related field; proficient in production C++; 5+ years in behavior planning, motion planning, flight controls, optimization, or similar autonomy domains; strong collaborative development practices. Shield AI is a venture-backed deep-tech company founded in 2015 with global operations actively supporting real-world autonomous systems; the role is on-site in Boston or Washington DC with up to 20% travel for integration and end-user collaboration. The standout: this is hands-on autonomy engineering for deployed autonomous vehicles in high-stakes operational contexts, not simulation or research.

Shield AI's Autonomy Capabilities team is hiring a Software Engineer II to develop autonomous behaviors for unmanned systems operating across air, land, sea, and space domains. You'll implement tactical autonomy features, write and test production C++ code, and collaborate with senior engineers to integrate software with sensors, communications, and actuation systems while supporting both simulation and real-world testing. The role requires a BS in Computer Science, Aerospace Engineering, or related field plus 2-3 years of experience in areas like behavior planning, motion planning, flight controls, or optimization, along with proficiency in C++ and collaborative development tools. Shield AI is a venture-backed deep-tech company founded in 2015 that builds autonomous vehicles (V-BAT, X-BAT) and mission autonomy software actively deployed in operations globally, with offices across the U.S., Europe, Middle East, and Asia-Pacific. This is an on-site position based in Boston or Washington DC requiring up to 20% travel to support testing and integration with partner teams. The role emphasizes hands-on implementation of well-defined features while developing expertise in autonomy and robotics systems under experienced mentorship.