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Embedded Systems Engineer-Federal

Job in Irvine, Orange County, California, 92713, USA
Listing for: FieldAI
Full Time position
Listed on 2026-06-19
Job specializations:
  • Software Development
    Robotics, Embedded Systems/ Firmware/ IoT, Embedded Software Engineer, Unix/Linux
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

About the Job

At FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We’re looking for an Embedded Systems Engineer to support design, implementation, integration, and deployment of wheeled robotic platforms across both federal and commercial programs.

Embedded Systems Role

As an Embedded Systems Engineer on the Federal Team, you will contribute to the architecture, configuration, and validation of the compute systems that serve as the backbone for our robotic platforms. Your work will span low‑level firmware, Linux‑based configuration, and system performance analysis across ARM and x86 SBC platforms. From firmware on microcontrollers to ROS data streams on SBCs, you’ll ensure the entire compute stack is optimized, reliable, and robust under field conditions.

You will collaborate closely with the sensor, electrical, and autonomy teams to build tightly integrated solutions ready for deployment in challenging field environments. Additionally, while your focus will be on computing systems you will likely contribute across all hardware domains.

Responsibilities
  • Compute System Design
    • 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, Jet Pack), 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.
  • Compute System Implementation
    • Bring up sensors and peripherals using protocols such as USB, Ethernet, GMSL, I2C, SPI, and 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.
  • Compute System Production & Servicing
    • Work with vendors to procure compute hardware and 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.
What You Have
  • Education:

    B.S., M.S., or Ph.D. in Computer Engineering, Robotics, Electrical Engineering, or a related field.
  • Experience Level: From entry‑level to senior and staff engineers.
  • Embedded Systems:
    Experience with embedded platforms such as Jetson, Raspberry Pi, x86 NUCs, and 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 such as oscilloscopes, logs, power monitors, and analyzers.
  • Systems Thinking:
    Ability to diagnose and optimize across compute, thermal, timing, and I/O layers.
What Will Set You Apart
  • Scaling:
    Experience taking systems from prototype to large‑scale production.
  • Field Environments:
    Experience developing systems for harsh field environments.
  • Deployed Robotics:
    Experience with autonomous vehicles, drones, or ruggedized robots deployed in real‑world settings.
  • Systems Level Robotics:
    Fluency across software, electrical, and mechanical systems.
  • Autonomy Software:
    Knowledge of autonomy stacks used in robotics and how compute performance impacts autonomy algorithms.
Eligibility

This position is for our Federal Team, which works on projects connected to the U.S. government requiring U.S. Person eligibility. A U.S. Person is defined by 22 C.F.R §120.62 and includes U.S. Citizens,…

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