Embedded Systems Engineer - Robotics Hardware

Robotics Hardware Engineer – Embedded Compute Systems Overview Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. The Hardware Team at Field AI develops perception and compute payloads that power autonomous robotics systems in complex real-world environments. Our work spans the full hardware stack designing and integrating sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded compute (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). The team focuses on both development (research, design, prototyping, testing) and operations (production, testing, QA, debugging). We’re a small, fast-moving team, and we care deeply about improving: 1) core capabilities, 2) system reliability, 3) system scalability. As a growing team we are also building operational systems and procedures from the ground up. Responsibilities 1. 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 2. 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 3. 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 Qualifications 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, and how compute performance impacts autonomy algorithms Compensation and Benefits Our salary range is generous ($70,000 - $200,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option. Why Join Field AI? We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. Location We are headquartered in Mission Viejo, Southern California and have US-based and global teammates. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. Job Details Seniority level : Not Applicable Employment type : Full-time Job function : Engineering and Information Technology #J-18808-Ljbffr