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Listed location: Irvine, CA
Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.
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Job Description
- Compute Architecture: Architect and configure embedded compute platforms (ARM/x86, SBCs) for robotic applications including evaluation, testing and selection.
- Firmware & Software: Set up and customize Linux environments (Ubuntu, Yocto, JetPack), middleware (ROS), and I/O interfaces.
- Systems Integration: Integrate compute with sensing and robotic systems. Analyze thermal, power, and bandwidth constraints to meet deployment and runtime requirements.
- Communications: Bring up sensors and peripherals using a range of protocols (USB, Ethernet, GMSL, I²C, SPI, CAN).
- Data Pipelines: Build and maintain drivers, ROS nodes, and data acquisition pipelines for new hardware components.
- Systems Configuration: Create configuration files, launch scripts, and firmware update workflows.
- Testing: Conduct system-level tests such as thermal profiling, latency measurement, and power draw analysis.
- Documentation & Budgets: Maintain flashing procedures, I/O maps, and debug kits. Manage compute and I/O budgets.
- Build: Work with vendors to procure compute hardware. Develop QA checks for incoming units. Support payload integration and scaling.
- Debug: Support root-cause analysis for boot, connectivity, and throughput issues.
- Diagnostics Monitoring: Implement watchdogs, health checks, and other evaluation tools. Monitor compute system performance across CPU, GPU, memory, I/O, and networking.
- 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.
Skills mentioned
Frequently asked questions
Is the Embedded Systems Engineer, Robotics Hardware position at Field AI remote?
The Embedded Systems Engineer, Robotics Hardware role at Field AI does not have a confirmed remote arrangement in our data. Check the employer description for its work location.
What type of employment is the Embedded Systems Engineer, Robotics Hardware role?
Field AI is hiring for a full-time Embedded Systems Engineer, Robotics Hardware position.
Which skills are mentioned for the Embedded Systems Engineer, Robotics Hardware job at Field AI?
Detected skill labels include Python, C++, GPU. Check the employer description to distinguish required skills from preferred experience.
How do I apply for the Embedded Systems Engineer, Robotics Hardware position at Field AI?
You can apply for the Embedded Systems Engineer, Robotics Hardware role directly through Field AI's official application link provided on this page.