Embedded Systems Engineer, Robotics Hardware

About this role

Field AI seeks an Embedded Systems Engineer to design and optimize the compute backbone for autonomous robotics operating in real-world environments. You'll work across firmware, Linux configuration, and system integration, collaborating with sensor and autonomy teams to deliver reliable, field-ready robotic platforms.

What you'll do

• Design and configure embedded compute architectures (ARM/x86 platforms) for robotic applications with thermal, power, and bandwidth optimization
• Develop firmware, customize Linux environments, and integrate ROS middleware across robotic systems
• Implement sensor drivers and data acquisition pipelines using USB, Ethernet, I²C, SPI, CAN, and GMSL protocols
• Conduct system-level testing including thermal profiling, latency measurement, and power analysis
• Support production scaling, vendor procurement, QA validation, and root-cause debugging of field issues
• Maintain documentation, flashing procedures, and diagnostic monitoring tools for system health and performance

What they're looking for

• Embedded Linux configuration and deployment (Ubuntu, Yocto, JetPack)
• Firmware development for microcontrollers and real-time systems
• C++ and Python programming for embedded and application-level work
• Communication protocols (USB, Ethernet, I²C, SPI, CAN, GMSL)
• ROS ecosystem, device drivers, and data streaming
• Hardware debugging with oscilloscopes, power monitors, and analyzers
• Embedded platforms (Jetson, Raspberry Pi, NUCs, custom SBCs)
• Systems-level thinking across compute, thermal, timing, and I/O optimization