Skip to main content

Field AI

Field Application Engineer - Abilene, TX - Temporary Part Time

Abilene, TXfull timemidAdded yesterday

About this role

Field AI seeks a Field Application Engineer to support the deployment and optimization of advanced robotics AI systems in real-world environments. You'll serve as a technical liaison between customers and the engineering team, ensuring successful implementation and gathering field insights to drive product improvements.

What you'll do

  • Deploy and configure Field AI robotics solutions at customer sites
  • Provide technical support and troubleshooting for field-deployed systems
  • Collect performance data and customer feedback to inform product development
  • Train customers on system operation and best practices
  • Collaborate with engineering teams to resolve field-identified issues
  • Document system performance and generate technical reports

What they're looking for

  • Robotics systems knowledge
  • Field troubleshooting and diagnostics
  • Technical communication with non-technical stakeholders
  • Data collection and analysis
  • Hardware/software integration experience
  • Problem-solving under field conditions
  • Customer relationship management
  • Ability to work independently in remote locations
Apply with Autofill

Opens the application — the Jobs AI extension fills it for you. Set up autofill

Opens the official application on the employer’s site. No login required.

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

  • What experience do you have deploying or supporting robotics systems in production environments?
  • Describe a time you diagnosed a complex technical issue in the field with limited resources.