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Senior Autonomy Engineer (Federal)

FieldAI· Field AI Federal
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Irvine, CA$150k - $180kFull-timePosted 3mo ago

About the role

Senior Autonomy Engineer for Field AI’s Federal team, responsible for field deployment, integration, and ongoing performance of wheeled autonomous robotic platforms in government and commercial programs. Combines hands-on engineering with customer-facing enablement, field feedback loops, and cross-functional collaboration to ensure reliable, mission-critical autonomy.

Responsibilities

  • 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.

Qualifications

  • PhD degree in Robotics, Computer Science, Electrical Engineering, or a related field or MS degree in a related field with 2+ years of industry or applied research experience, or BS degree in a related field with 4+ years of relevant experience.
  • Experience in field deployment of complex technical systems.
  • Proficiency in Python, C++, Git, ROS/ROS2.
  • 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.

Skills

Required:Field deploymentPythonC++GitROS/ROS2Linux, containers, cloudTroubleshootingCustomer enablement

Benefits

  • Not explicitly listed in the job description.
Last updated Oct 22, 2026. Interested? Apply on the company site.

About FieldAI

Robot intelligence built for the real-world.

FieldAI is the leader in deploying general-purpose robots in unstructured environments, providing a universal brain that works across many robots, and many tasks.

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