Manager, Engineering - Software Integration

About the role

Shield AI is a venture-backed defense-tech company developing AI and robotics products, including Hivemind autonomy software, aircraft and simulation technologies. The Hivemind Integration & Test team focuses on integrating, validating and improving the Hivemind ecosystem so developers can build, test and deploy autonomous systems. As Manager, Engineering - Software Integration, you will lead a team responsible for integrating, validating and scaling the Hivemind autonomy platform across simulation, hardware-in-the-loop and operational environments, acting as both technical leader and people manager.

Key responsibilities

• Mentor and develop a team of engineers focused on software integration, system validation and developer experience.
• Set team priorities, drive execution and foster a culture of technical excellence, ownership and continuous improvement.
• Contribute to system integration, validation and debugging, and deepen expertise in the autonomy stack.
• Guide the architecture of integration frameworks, deployment workflows and configuration management tools for SIL, HIL and flight environments.
• Review system logs, telemetry and rosbag data to diagnose defects, lead cross-functional investigations and create tooling that speeds debugging.
• Ensure integrated capabilities meet product requirements and interface specifications.

Required profile

• Typically 7 years of related experience with a bachelor's degree in CS, Comp Eng, Robotics or a related field, or 6 years with a master's, or 4 years with a PhD.
• Demonstrated experience designing integration workflows, communicating system dependencies and triaging and reporting integration defects across subsystems.
• Experience leading software integration engineers and owning integration roadmaps and release schedules.
• Excellent communication skills, able to collaborate across teams and present to customers or technical leadership.

Required skills

• Proficiency in Python or C++.
• Experience with autonomous systems or middleware.
• Preferred: expert knowledge of Python, ROS, hardware or embedded systems, white box testing, and familiarity with networking, operating systems and radio communications.