Senior ROS Autonomy Engineer

FieldAI

Irvine (CA)

On-site

USD 180,000 - 250,000

Full time

14 days+
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Job summary

FieldAI's Irvine team is building robust, field-ready autonomy systems for real-world industries. As a ROS Developer, you will design, implement, and optimize perception, localization, and control modules using ROS/ROS2 on production-grade software for challenging environments.

You'll integrate multi-modal sensors, develop real-time data pipelines in C++ and Python, and collaborate with perception engineers to deliver reliable autonomous robotics solutions on hardware.

Qualifications

  • Bachelor's degree in CS, EE, robotics, or related field.
  • Strong software engineering skills and production-quality robotics experience.
  • Expertise in C++ and Python with ROS/ROS2 experience.
  • Experience with localization, SLAM, sensor fusion, and navigation.
  • Sensor integration with LiDAR, thermal, RGB, GPS, and IMU.
  • Experience with real-time data processing and IPC/middleware.
  • Ability to work independently and manage priorities.

Responsibilities

  • Develop and maintain ROS/ROS2 packages for navigation, mapping, and control.
  • Integrate multi-modal sensors for autonomous missions.
  • Build autonomy APIs for SLAM, path planning, and mission logic.
  • Implement real-time data pipelines in C++ and Python.
  • Collaborate with perception engineers on AI-driven decisions.
  • Design and test autonomous behavior on real hardware.
  • Troubleshoot systems at HW-SW interface and develop diagnostics.

Skills

C++
Python
ROS/ROS2
Robotics software engineering
Problem solving

Education

Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or related field

Tools

OpenCV
PCL
Git
Linux
Sensor fusion frameworks

Job description

FieldAI's Irvine team is building robust, field-ready autonomy systems for real-world industries. As a ROS Developer, you will design, implement, and optimize perception, localization, and control modules using ROS/ROS2 on production-grade software for challenging environments.

You'll integrate multi-modal sensors, develop real-time data pipelines in C++ and Python, and collaborate with perception engineers to deliver reliable autonomous robotics solutions on hardware.

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