Embedded Systems Engineer – Robotics Hardware

Field AI is transforming how robots interact with the real world, building risk-aware and reliable AI systems for robotics. The Embedded Systems Engineer will contribute to the architecture and validation of compute systems for robotic platforms, focusing on low-level firmware and system performance analysis.

Responsibilities

• Architect and configure embedded compute platforms (ARM/x86, SBCs) for robotic applications including evaluation, testing and selection
• Set up and customize Linux environments (Ubuntu, Yocto, JetPack), middleware (ROS), and I/O interfaces
• Integrate compute with sensing and robotic systems. Analyze thermal, power, and bandwidth constraints to meet deployment and runtime requirements
• Bring up sensors and peripherals using a range of protocols (USB, Ethernet, GMSL, I²C, SPI, CAN)
• Build and maintain drivers, ROS nodes, and data acquisition pipelines for new hardware components
• Create configuration files, launch scripts, and firmware update workflows
• Conduct system-level tests such as thermal profiling, latency measurement, and power draw analysis
• Maintain flashing procedures, I/O maps, and debug kits. Manage compute and I/O budgets
• Work with vendors to procure compute hardware. Develop QA checks for incoming units. Support payload integration and scaling
• Support root-cause analysis for boot, connectivity, and throughput issues
• Implement watchdogs, health checks, and other evaluation tools. Monitor compute system performance across CPU, GPU, memory, I/O, and networking

Skills

• Education: B.S., M.S., or Ph.D. in Computer Engineering, Robotics, Electrical Engineering, or a related field
• Experience Level: We are recruiting across a wide range of experience levels from entry level engineers to senior and staff engineers
• Embedded Systems: Experience with embedded platforms (Jetson, Raspberry Pi, x86 NUCs, custom SBCs)
• Linux: Proficiency with Linux system configuration, scripting, and headless deployment tools
• Firmware: Strong skills in firmware development for microcontrollers, including bare-metal and RTOS environments
• Programming: Proficient in C++ and Python for embedded and application-level development
• Communication Protocols: Experience with USB, Ethernet, I²C, SPI, CAN, GMSL, and similar interfaces
• ROS Ecosystem: Familiarity with ROS, device drivers, TF, and data streaming/publishing
• Debugging: Comfort with hardware/software debugging tools (oscilloscopes, logs, power monitors, analyzers)
• Systems Thinking: Ability to diagnose and optimize across compute, thermal, timing, and I/O layers
• Scaling: Experience taking systems from prototype to large scale production
• Field Environments: Experience developing systems for harsh field environments
• Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots
• Systems Level Robotics: Fluency across software, electrical, and mechanical systems
• Autonomy Software: Knowledge of autonomy stacks used in robotics. As well as how compute performance impacts autonomy algorithms

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