Robot Autonomy Engineer-Federal

Who are We?

Field AI is transforming how robots interact with the real world. We build risk‑aware, reliable, and field‑ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence.

About the Job

At Field AI, we build autonomous robotic systems that operate in demanding, real‑world environments where tight integration between hardware and software is critical. We’re looking for a Robot Autonomy Engineer to support testing, deployment, and integration of wheeled robotic platforms across both federal and commercial programs. As a Robot Autonomy Engineer, you’ll own deployment, integration, and ongoing performance in the field, working hands‑on with both customers and internal teams to ensure successful operations, rapidly incorporate field feedback to improve reliability and performance, and drive adoption so our systems become mission‑critical from day one.

• Lead the 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.
• Implement monitoring and diagnostic tools to ensure sustained reliability.

• Partner with customer teams to train and support operators in achieving operational readiness.
• Translate complex technical concepts into clear, actionable workflows.
• Act as a trusted advisor to accelerate adoption and long‑term value realization.

• Serve as the voice of the customer, bringing field insights back to engineering and product teams.
• Collaborate across software, hardware, and AI research groups to deliver integrated solutions.
• Contribute to building scalable deployment practices and playbooks for future rollouts.

• Master’s degree or higher in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related technical field (or equivalent practical experience).
• 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.
• Familiarity with Linux‑based systems, containerization, and cloud infrastructure.
• Strong troubleshooting and debugging skills across software, hardware, and networking layers.
• Self‑starter mindset with the ability to thrive in ambiguous and rapidly changing environments.

• Experience deploying, operating, or maintaining mission‑critical systems in real‑world environments.
• Experience using Jira, Wrike, Confluence, or other program management software tools.
• Ability to work directly with customers in high‑stakes, fast‑paced settings, translating needs into technical solutions.
• Excellent communication skills, with the ability to explain technical concepts to non‑technical users.
• Willingness to travel and work on‑site with customers as needed.

This position is for our Field

AI Federal Team. This team works on projects connected to the U.S. government which requires U.S. Person eligibility. A U.S. Person as defined by 22 C.F.R §120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee.

The salary range for this role is $70,000–$120,000. The actual offer will be based on relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. The compensation package also includes full benefits, equity, and generous time.

At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In‑person engagement is essential to our success, and we offer flexible working hours to support focus and work‑life balance.

We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.