Autonomy Integration Engineer — Flight-Ready Systems

F7d8749a; San Diego (CA); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Shield AI is hiring a Software Engineer, Autonomy Integration, to join the Planning and Controls team. You will build durable integration environments and end-to-end test harnesses, ensuring readiness for hardware and flight testing.

You will work across planning, controls, perception, and vehicle interfaces to enable a reliable autonomy stack. You will collaborate with cross-functional teams to resolve integration gaps, develop bridge blocks, and improve test tooling and repeatability.

Qualifications

• Bachelor's degree in computer science, robotics, or related field or equivalent experience.
• Experience developing or integrating planning, controls, or autonomy software.
• Strong production software engineering skills in modern C++ and Python.
• Hands-on experience integrating software with robotic or autonomous hardware, including deployment and field debugging.

Responsibilities

• Build and maintain stable Pilot integration environments and reference configurations.
• Collaborate with component teams to add capabilities to the shared integration environment and fix gaps.
• Develop and maintain automated software-in-the-loop and hardware-in-the-loop tests.
• Integrate and debug production software across planning, controls, simulation, and vehicle interfaces.
• Document runbooks, guides, and examples to support Pilot training and operations.

Skills

C++

Python

Autonomy software

Linux

Testing & debugging

Distributed systems

Communication

Lab/flight testing experience

Education

Bachelor's degree in CS/robotics or related field

Tools

ROS

MAVLink

DevOps tooling

Job description

Shield AI is hiring a Software Engineer, Autonomy Integration, to join the Planning and Controls team. You will build durable integration environments and end-to-end test harnesses, ensuring readiness for hardware and flight testing.

You will work across planning, controls, perception, and vehicle interfaces to enable a reliable autonomy stack. You will collaborate with cross-functional teams to resolve integration gaps, develop bridge blocks, and improve test tooling and repeatability.