Embedded Systems Engineer-Federal

Summary

FieldAI is transforming how robots interact with the real world, and they are seeking an Embedded Systems Engineer to support the design, implementation, integration, and deployment of robotic platforms. The role involves contributing to the architecture and validation of compute systems essential for robotic applications, collaborating with various teams to ensure optimized and reliable solutions in challenging environments.

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

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

Qualifications

Must Haves

• B.S., M.S., or Ph.D. in Computer Engineering, Robotics, Electrical Engineering, or a related field
• Experience with embedded platforms (Jetson, Raspberry Pi, x86 NUCs, custom SBCs)
• Proficiency with Linux system configuration, scripting, and headless deployment tools
• Strong skills in firmware development for microcontrollers, including bare-metal and RTOS environments
• Proficient in C++ and Python for embedded and application-level development
• Experience with USB, Ethernet, I²C, SPI, CAN, GMSL, and similar interfaces
• Familiarity with ROS, device drivers, TF, and data streaming/publishing
• Comfort with hardware/software debugging tools (oscilloscopes, logs, power monitors, analyzers)
• Ability to diagnose and optimize across compute, thermal, timing, and I/O layers

Nice to Haves

• Experience taking systems from prototype to large scale production
• Experience developing systems for harsh field environments
• Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots
• Fluency across software, electrical, and mechanical systems
• Knowledge of autonomy stacks used in robotics. As well as how compute performance impacts autonomy algorithms

Benefits

• Full benefits
• Equity
• Generous time off
• Flexible working hours to support focus and work-life balance