Autonomy Engineer, Field Robotics & Deployments

Lever, Inc.; Irvine (CA); Hybrid; USD 100,000 - 150,000; Full time

Job summary

Field AI in Irvine is seeking a Robotics Autonomy Engineer to support testing, deployment, and integration of wheeled robotic platforms for federal and commercial programs. You will own deployment, integration, and field performance, collaborating with customers and internal teams to ensure operations meet requirements.

You will work hands-on with hardware and software, translating field feedback into improvements and helping bring autonomous systems to life in real-world environments.

Qualifications

• Bachelor’s degree or higher in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related field.
• 2–3 years of experience in software engineering, systems integration in the Field Robotics industry.
• Experience in field deployment of complex technical systems.
• Proficiency in Python, C++, Git, ROS.

Responsibilities

• Lead end-to-end deployment of autonomous systems in customer environments.
• Ensure systems are configured, tested, and operational under real-world conditions.
• Troubleshoot and resolve technical issues quickly to maintain uptime and mission success.
• Gather and analyze field feedback to identify areas for improvement.
• Work closely with product and engineering teams to drive enhancements into the core system.

Skills

Python

C++

ROS

Git

Linux

Containerization

Education

Bachelor’s degree in Robotics/CS/EE/ME or related field

Tools

Jira

Confluence

Wrike

Job description

Field AI in Irvine is seeking a Robotics Autonomy Engineer to support testing, deployment, and integration of wheeled robotic platforms for federal and commercial programs. You will own deployment, integration, and field performance, collaborating with customers and internal teams to ensure operations meet requirements.

You will work hands-on with hardware and software, translating field feedback into improvements and helping bring autonomous systems to life in real-world environments.