Shield AI
Staff Engineer, Autonomy Software Integration (R4483)
$157K–$236K
San Diego, California +3 · Hybrid · Staff · Full-time · Posted Jan 31, 2026
- Location
- San Diego, California
Washington, D.C.
Seattle, Washington
Boston, Massachusetts - Experience
- 7 years 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; alternatives specified in the experience requirement.
About the job
Integrates, validates, and improves Shield AI’s Hivemind autonomy platform across robotic hardware, simulation, and flight environments, helping ensure reliable customer-ready autonomous systems.
What you'll do
- Integrate autonomy software, sensors, middleware, and platform interfaces on robotic systems; support platform bring-up and cross-platform compatibility.
- Build integration and deployment tools, improve CI/CD workflows, and define release-readiness criteria.
- Analyze logs, telemetry, and rosbag data to diagnose defects and validate requirements and interface contracts.
What they ask for
- 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 degree; or 4 years with a PhD.
- Proficiency in Python or C++; experience with autonomous systems, server applications, or middleware.
- Experience designing integration workflows, communicating system dependencies, and triaging and reporting integration defects across subsystem boundaries.
- Proficiency with simulation tools and HIL testing environments; strong expertise with CI/CD pipelines.
Nice to have
- Experience with hardware or embedded systems; experience with ROS.
- Experience building complex systems and designing automated testing tools for GUI or server applications.
Pay
USD 157,000–235,800 (base salary)
Tools
Hivemind SDK, Python, C++, Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), CI/CD, ROS, rosbag
AI focus
Integrates and validates AI-powered autonomy capabilities, including autonomy behaviors, perception pipelines, and multi-agent systems.
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