Quick overview
Job description
What You'll Get To Do
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Build and maintain the systems software that powers Field AI's robotic platforms.
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Bring up and integrate onboard compute, sensors, networking, and supporting hardware across different robot platforms.
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Develop tooling and services for robot provisioning, configuration, deployment, monitoring, diagnostics, and recovery.
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Integrate hardware interfaces, device drivers, vendor SDKs, and system services into a reliable robot runtime.
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Debug complex system-level issues spanning software, operating systems, networking, compute, sensors, and hardware.
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Improve robot reliability through automated testing, observability, health monitoring, and fault recovery.
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Collaborate with robotics, autonomy, hardware, infrastructure, and deployment teams to bring new platforms from development to field deployment.
What You Have
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Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Computer Engineering, or a related technical field.
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5+ years of experience in robotics, systems software, embedded systems, or a related engineering role.
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Strong software engineering skills in C++ and/or Python.
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Strong understanding of Linux systems, networking, processes, devices, and system configuration.
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Hands-on experience developing, integrating, or debugging robotic, embedded, or other hardware-software systems.
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Familiarity with ROS/ROS 2 or similar robotics middleware.
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Ability to debug complex problems across software and hardware boundaries and drive them through resolution.
The Extras That Set You Apart
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Experience building and operating production robotic systems deployed outside controlled lab environments.
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Deep Linux systems experience, including systemd, udev, device configuration, networking, and performance debugging.
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Experience with embedded or edge compute platforms.
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Experience with Docker, Kubernetes, or other containerized runtime environments.
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Experience with automated provisioning, configuration management, OTA software updates, or robot fleet management.
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Experience with system-level test automation, hardware-in-the-loop testing, observability, telemetry, and diagnostics.
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