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How Did You Hear About Us?

• How did you learn about this opportunity?✱

  • Field AI Website
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  • Referral from a friend, colleague, or professor
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Start Date

• Please let us know you would be able to begin a new opportunity.✱

  • I can start immediately.
  • I can start in two to three weeks.
  • I can start in a month.
  • I can start in six weeks to two months.
  • I can start in eight to twelve weeks.

Are you authorized to work in the U.S.?

• Are you authorized to work in the United States?✱

  • Yes
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• Will you now, or in the future, require sponsorship (i.e. H-1B visa, etc.) to legally work in the U.S.?✱

  • Yes
  • No
  • Not applicable
• Are you currently in a period of Optional Practical Training (OPT)?✱

  • Yes
  • No
  • Not applicable
• Do you hold a degree in a Science, Technology, Engineering, or Mathematics (STEM) field from a U.S. accredited institution that would allow you to apply for a 24-month OPT extension?✱

  • Yes
  • No
  • Not applicable

1.8 Robotics AI Engineer

• Do you have a Master's or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field with a focus on calibration, localization, or mapping?

  • Yes
  • No
• Do you have hands-on experience developing or improving SLAM (Simultaneous Localization and Mapping) or sensor fusion algorithms for autonomous robots?

  • Yes
  • No
• Have you worked with ROS (Robot Operating System) to design, build, and deploy nodes in a complex, real-world robotic system?

  • Yes
  • No
• How would you rate your proficiency in C++ and Python for production-quality robotic systems, and can you describe a project where you applied both languages?
• Can you describe your experience with sensor calibration (both intrinsics and extrinsics), time synchronization, and working with multimodal sensor data (LiDAR, cameras, IMUs)?

• By applying for this position, your data will be processed as per Field AI's privacy policy.

  • Field AI has my consent to contact me about future job opportunities.