UGV Systems Engineer – Robotics Hardware

Field AI(1 month ago)

Irvine, CAOnsiteFull TimeSenior$211,142 - $281,105 (estimated)Hardware Engineering

About this role

The UGV Systems Engineer at Field AI leads integration of full-stack autonomy hardware onto wheeled unmanned ground vehicles, spanning sensing, compute, electrical, and mechanical systems. The role owns architecture, implementation, and field readiness of UGV payloads used in complex, unstructured environments. It involves coordinating a cross-disciplinary team and vendors to take platforms from design through production and deployment. This position sits on the Hardware Team, closely partnering with autonomy software and field operations to support real-world robotic deployments.

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Required Skills

Hardware Architecture
Sensor Integration
Compute Integration
Embedded Systems
Linux Development
ROS2 Middleware
Electrical Design
Power Distribution
CAN Bus
Ethernet Networking

+28 more

Qualifications

BS in Mechanical Engineering
BS in Electrical Engineering
BS in Robotics
BS in Computer Engineering
MS in Mechanical Engineering
MS in Electrical Engineering
MS in Robotics
MS in Computer Engineering
PhD in Mechanical Engineering
PhD in Electrical Engineering

+4 more

About Field AI

fieldai.com

FieldAI builds field-proven embodied AI software offering a unified autonomy platform — "One Autonomy for All Robots" — to enable reliable real-world operation of mobile robots. Their stack covers perception, navigation, task planning and fleet orchestration so robot makers and enterprise operators can deploy and scale robots across varied environments. Designed to integrate with different robot types and industry use cases (warehousing, logistics, manufacturing, etc.), the platform focuses on turning robotics pilots into sustained operations. FieldAI has raised significant funding (over $400M) to expand its embodied-AI capabilities at scale.