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Robot Autonomy Engineer-Federal

Job in Irvine, Orange County, California, 92713, USA
Listing for: FieldAI
Full Time position
Listed on 2026-07-18
Job specializations:
  • Software Development
    Unix/Linux, Embedded Systems/ Firmware/ IoT, Robotics
Salary/Wage Range or Industry Benchmark: 70000 - 120000 USD Yearly USD 70000.00 120000.00 YEAR
Job Description & How to Apply Below

Robot Autonomy Engineer

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 are looking for a Robot Autonomy Engineer to support testing, deployment, and integration of wheeled robotic platforms across both federal and commercial programs. The role is equal parts engineering and problem‑solving and involves 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.

What

You'll Get To Do Field Deployment & Operations
  • 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.
System Reliability & Performance
  • 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.
Customer Enablement & Adoption
  • 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.
Cross‑Functional Collaboration
  • 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.
What You Have
  • 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.
The Extras That Set You Apart
  • 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.
Location & Compensation

Location:

Irvine, CA (full‑time onsite). Compensation: $70,000 – $120,000 a year, plus benefits, equity, and generous time.

Eligibility & Diversity

We are looking for U.S. Persons for this federal role, as defined by 22 C.F.R §120.62. This position is for our FieldAI Federal Team.

We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are 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.

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