FieldAI · 12 hours ago
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.
Enterprise SoftwareRobotic Process Automation (RPA)Robotics
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
Qualification
Required
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
Preferred
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
Company
FieldAI
FieldAI is pioneering the development of a field-proven, hardware agnostic brain technology that enables many different types of robots to operate autonomously in hazardous, offroad, and potentially harsh industrial settings – all without GPS, maps, or any pre-programmed routes.
H1B Sponsorship
FieldAI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
Funding
Current Stage
Early StageTotal Funding
$405M2025-08-20Series Unknown· $91M
2025-08-20Series A· $314M
Recent News
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