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Embedded Systems Engineer – Robotics Hardware

Field AIIrvine, CA
On-site Full-time

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Experience Level

Experience

Qualifications

Qualifications:Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field. Experience in embedded systems design and firmware development. Proficiency in Linux-based environments and system performance analysis. Familiarity with ROS and various computing architectures (ARM, x86). Strong problem-solving skills and a collaborative mindset.

About the job

Field AI is revolutionizing the way robots engage with their environments. We are developing risk-aware, dependable, and field-ready AI systems to tackle the most intricate challenges in robotics, unleashing the complete potential of embodied intelligence. Our approach transcends conventional data-driven methods and purely transformer-based architectures, charting a pioneering path with globally deployed solutions that yield tangible results and swiftly enhance models through real-world applications.

Hardware Team:
The Hardware Team at Field AI designs and develops perception and computational payloads that empower autonomous robotic systems in complex real-world settings. Our responsibilities encompass the entire hardware stack, including the design and integration of sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded computing (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal management, ingress protection). We prioritize both development (research, design, prototyping, testing) and operations (production, testing, QA, debugging). As a dynamic, small team, our core values focus on enhancing: 1) foundational capabilities, 2) system reliability, and 3) system scalability. Being a growing unit, we are also establishing operational systems and procedures from the ground up.
 
Embedded Compute Role:
As an Embedded Compute Engineer within the Hardware Team at Field AI, you will play a crucial role in architecting, configuring, and validating the computing systems that form the backbone of our robotic platforms. Your responsibilities will encompass low-level firmware development, Linux-based configurations, and performance analysis across ARM and x86 single-board computer platforms. From firmware on microcontrollers to ROS data streams on SBCs, you’ll ensure the entire computing stack is optimized, reliable, and robust under field conditions. You will work closely with sensor, electrical, and autonomy teams to create tightly integrated solutions primed for deployment in demanding field environments. Although your primary focus will be on computing systems, you will also likely contribute across all hardware domains.

About Field AI

At Field AI, we are committed to transforming the interaction between robots and the real world. Our innovative AI systems are designed to address the most challenging robotics problems, enabling smarter and more efficient automation solutions.

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