Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
What you'll do:
Develop high-quality C/C++ code tailored specifically for X-Bat aircraft, ensuring optimal performance, reliability, and safety. Participate in design, code reviews and test. Integrate software from multiple departments to include firmware, software test and verification, Autonomy AI, and Ground Control Stations (GCS) Develop software systems to implement and integrate interfaces to modern avionics sensors, sub-systems, and payloads Use modern software development tools and processes to capture our existing architecture and design future architectures Report status, risks, accomplishments, expectations to senior leadership Design and implement systems capable of conducting tests across various environments, including virtualized hardware and hardware-in-the-loop simulations, to facilitate thorough evaluation of software functionality and performance. Develop innovative tools to enhance the frequency and reliability of software deployment, test execution, and data analysis within a continuous integration and release system, fostering improved efficiency and productivity in software development workflows. Create prototypes to validate critical design concepts and assess technical limitations, providing tangible evidence of feasibility and informing decision-making processes. Required qualifications:
Evidence of professional embedded software development in C/C++. Good understand of Oriented Object Programming and modern C++ features. Good knowledge of embedded software, BSPs or other systems software components. Good understanding of computer architecture, operating systems, and network protocols fundamentals. Demonstrated leadership and ownership skills. Evidence of producing high-quality technical documentation, detailed designs, and test plans. B.S., M.S, PhD degree in Systems Engineering, Software Engineering, Computer Science or STEM (Science, Technology, Engineering, or Mathematics) discipline, such as Aerospace, Mechanical, or Electrical Engineering Preferred qualifications:
Comfortable with fast-paced environments, within startup or R&D settings. Demonstrated adaptability, agility, and the ability to innovate under pressure to meet dynamic project demands and drive successful outcomes.