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Field AI

Forward Deployed Engineer-Federal

Irvine, CA$70k–$300kfull timemidAdded 1 month ago

About this role

Field AI seeks a Forward Deployed Engineer to lead real-world deployment and integration of autonomous robotic systems for federal and commercial programs. You'll own the full lifecycle from field testing through customer enablement, serving as a bridge between customers and engineering teams to drive system reliability and adoption.

What you'll do

  • Lead end-to-end deployment of autonomous systems in customer environments and ensure operational readiness
  • Troubleshoot technical issues across software, hardware, and networking to maintain system uptime
  • Gather field feedback and collaborate with engineering teams to identify and implement improvements
  • Train customer operators and translate complex technical concepts into actionable workflows
  • Serve as customer advocate, bringing field insights back to product and engineering teams
  • Develop and document deployment practices and playbooks for scalable rollouts

What they're looking for

  • Python and C++ programming
  • ROS (Robot Operating System)
  • Linux systems and containerization
  • Git version control
  • Troubleshooting and debugging across multiple system layers
  • Systems integration and field deployment
  • Customer communication and technical translation
  • Project management tools (Jira, Wrike, Confluence)

Benefits

  • Full benefits package
  • Equity compensation
  • Generous time off
  • Flexible working hours
  • Fully onsite role with in-person collaboration support
  • Mission-critical impact in autonomous robotics
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Field AI

Field AI develops embodied AI and autonomous robotics systems for real-world deployment in industrial environments like oil & gas and mining. The company is hiring software engineers to build web-based systems, perception and validation pipelines, test infrastructure, ROS-based robotic software, and customer-facing products that integrate AI with field-deployed hardware.

View all jobs at Field AI

Likely interview questions

  • Walk us through your experience deploying complex technical systems in the field. What was the most challenging deployment you've managed, and how did you troubleshoot critical issues?
  • Describe your experience with ROS, Python, and C++. How have you used these tools to integrate hardware and software in robotic systems?
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