Shield AI
Staff Engineer, Autonomy Software Integration (R4483)
San Diego, California · Staff · Full-time · Posted Oct 21, 2026
- Experience
- Typically 7 years of related experience with a bachelor’s degree; or 6 years with a master’s degree; or 4 years with a PhD.
- Education
- Bachelor’s degree in CS, Comp Eng, Robotics, or a related field; or a master’s degree or PhD under the stated experience alternatives.
About the job
Integrates, validates, and improves the Hivemind autonomy platform across simulation, hardware-in-the-loop, and flight environments, helping ensure autonomous systems are reliable and mission-ready.
What you'll do
- Integrate autonomy capabilities and bring-up software on robotic hardware, configuring sensors, interfaces, and platform adapters.
- Build integration frameworks and tooling; improve deployment, cross-platform compatibility, and CI/CD workflows.
- Analyze logs, telemetry, and rosbag data to diagnose defects, validate requirements, and drive resolution with engineering teams.
What they ask for
- Proficiency in Python or C++.
- Experience with autonomous systems, server applications, or middleware.
- Experience designing integration workflows and triaging and reporting defects across subsystem boundaries.
- Proficiency with simulation tools and HIL testing environments, and strong expertise with CI/CD pipelines.
Nice to have
- Experience with hardware or embedded systems; experience with ROS.
- Experience building complex systems and automated testing tools.
Tools
Python, C++, Hivemind SDK, Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), ROS, CI/CD, rosbag
AI focus
Integrates and validates an AI-powered autonomy stack, including autonomy algorithms, perception pipelines, and multi-agent systems.
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