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Field AI

Field Application Engineer - Temporary Part Time - Cleveland, OH

Cleveland, OHpart timemidAdded today

About this role

Field AI seeks a Field Application Engineer to serve as the primary technical liaison between customers and the company during deployments of autonomous robotic systems. You'll lead end-to-end implementation of quadrupeds, rovers, and humanoid robots in real-world environments, troubleshoot complex technical issues, and drive successful project outcomes across multiple concurrent deployments.

What you'll do

  • Serve as primary technical point of contact for customers throughout deployment, testing, and operational phases
  • Develop deployment plans, timelines, and technical implementation strategies for autonomous robotic systems
  • Deploy and supervise robotic systems in customer field environments while troubleshooting hardware, software, and systems integration issues
  • Coordinate execution across engineering, operations, and customer teams to ensure project success
  • Evaluate field performance data and communicate findings and recommendations to internal engineering teams
  • Manage multiple customer deployments simultaneously while leading technical reviews and readiness assessments

What they're looking for

  • Robotics platforms and autonomous systems (quadrupeds, rovers, humanoids, drones)
  • Python or C++ programming and scripting
  • Troubleshooting hardware, software, networking, and embedded systems
  • Project management and cross-functional team coordination
  • Technical problem-solving and independent decision-making
  • Customer communication and stakeholder management
  • Systems integration and field data analysis
  • Technical documentation and presentation skills
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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.

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Likely interview questions

  • Describe your hands-on experience with robotics platforms or autonomous systems and how you've applied that knowledge in real-world deployments.
  • Tell us about a time you had to troubleshoot a complex technical issue in a field environment with limited resources—how did you approach it?
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