Senior Autonomy Software Integration Engineer

AI Chopping Block, Inc.; San Diego, Northern (CA, KY); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Shield AI seeks a Software Integration Engineer to advance autonomy development and ensure reliable, mission-ready systems. You will become a power user of the Hivemind SDK, validating use cases, evaluating ease of use for developers, and feeding actionable feedback to Engineering and Product teams.

You will bridge engineering and customer workflows, integrating new capabilities into the platform, and validating end-to-end system performance on prototype and production vehicles.

Qualifications

• Bachelor's degree in CS, Comp Eng, Robotics, or equivalent.
• 3–5 years related experience in integration of autonomous systems.
• Proficient in Python or C++.
• Experience with HIL testing and CI/CD pipelines.

Responsibilities

• Become systems integration expert for autonomous robotics. Develop deep expertise in our AI-powered autonomy stack.
• Configure, deploy, and integrate multi-agent systems across simulation, hardware-in-the-loop, and flight platforms.
• Understand the full system end-to-end—from sensor inputs to autonomous behaviors.
• Integrate new capabilities into the autonomy stack and ensure interoperability across components.
• Enable platform bring-up and validation on new robotic hardware platforms.
• Develop integration tooling and infrastructure for SIL/HIL and flight environments.
• Analyze system behavior and root-cause issues using logs and telemetry.

Skills

Python

C++

ROS

CI/CD

HIL testing

communication

Education

Bachelor's degree in CS/Comp Eng/Robotics

Tools

CI/CD tooling

Simulation tools

ROS

Job description

Shield AI seeks a Software Integration Engineer to advance autonomy development and ensure reliable, mission-ready systems. You will become a power user of the Hivemind SDK, validating use cases, evaluating ease of use for developers, and feeding actionable feedback to Engineering and Product teams.

You will bridge engineering and customer workflows, integrating new capabilities into the platform, and validating end-to-end system performance on prototype and production vehicles.