Robotics Autonomy Engineer — Field Deployment

FieldAI; Irvine (CA); On-site; USD 70,000 - 120,000; Full time

Job summary

FieldAI is seeking a Robot Autonomy Engineer to lead deployment and operation of autonomous robotic platforms for federal and commercial programs. You will work hands‑on with customers and internal teams to ensure reliable performance, rapid feedback incorporation, and scalable rollout of fielded solutions.

Requirements include a Master’s degree in a relevant field and 2–3 years of field robotics software experience, with proficiency in Python, C++, ROS, and Git.

Qualifications

• Master’s degree or higher in robotics, CS, electrical/mechanical engineering or related field.
• 2–3 years of experience in software engineering and field robotics systems integration.
• Experience deploying and maintaining complex robotic systems in field environments.
• Proficiency in Python, C++, Git, and ROS.
• Familiarity with Linux-based systems, containerization, and cloud infrastructure.
• Strong debugging and troubleshooting across software, hardware, and networking.
• Self-starter with adaptability in dynamic settings.

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.
• Collaborate with software, hardware, and AI research groups to deliver integrated solutions.
• Serve as the voice of the customer, feeding field insights back to engineering and product teams.

Skills

Python

C++

Git

ROS

Linux

Containerization

Cloud infrastructure

Troubleshooting

Self-starter

Education

Master's degree in Robotics, Computer Science, Electrical/Mechanical Engineering, or related field

Tools

Field deployment experience

Job description

FieldAI is seeking a Robot Autonomy Engineer to lead deployment and operation of autonomous robotic platforms for federal and commercial programs. You will work hands‑on with customers and internal teams to ensure reliable performance, rapid feedback incorporation, and scalable rollout of fielded solutions.

Requirements include a Master’s degree in a relevant field and 2–3 years of field robotics software experience, with proficiency in Python, C++, ROS, and Git.