FieldAI · 2 days ago
Embedded Systems Engineer – Robotics Hardware
Field AI is transforming how robots interact with the real world by building risk-aware, reliable AI systems for robotics. The Embedded Systems Engineer will contribute to designing and validating compute systems for robotic platforms, ensuring their performance and reliability in challenging environments.
Enterprise SoftwareRobotic Process Automation (RPA)Robotics
Responsibilities
Compute System Design
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
Compute System Implementation
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
Compute System Production & Servicing
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
Qualification
Required
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
Preferred
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
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
Crunchbase News
2025-12-19
2025-10-16
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