Embedded Systems Engineer
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.
As an Embedded Systems Engineer on the Federal Team at Field AI, 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.
What You Will Get To Do
What You Have
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.
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 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.
This position is for our FieldAI Federal Team. This team works on projects connected to the U.S. government which requires U.S. Person eligibility. A U.S. Person as defined by 22 C.F.R §120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee.
Compensation
The salary range for this role is $70,000-$300,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time off.
Field AI Onsite Work Philosophy
At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Mission Viejo, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.