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Robotics Engineer (Perception)

Sabanto
Itasca, USA
Full-time
Mid · 5+ years experience
Onsite
Discovered Yesterday
dockeropencvpythonpytorch

Full Job Posting

QUALIFICATIONS

  • Bachelor's in computer science, robotics, electrical engineering or a related field
  • Strong quantitative, analytical, and problem-solving skills, with comfort in geometry, linear algebra and probabilistic estimation
  • An entrepreneurial attitude with a keen eye for detail
  • Can code with and without AI help.
  • Organized, disciplined, and can manage multiple priorities simultaneously
  • Industrious – ideally can drive, or willing to learn to drive, tractors, and anything with four wheels
  • Ag-gnostic – Excited about learning the ag industry, understanding what's important to farmers and helping them be successful with our offerings
  • DESIRED EXPERIENCE
  • 5+ years building perception, computer vision or other real-time sensing applications, with a track record of shipping to production hardware outside the lab
  • Mastery of C++ and/or Python
  • Mastery of ROS/ROS2, including sensor drivers and high-bandwidth message pipelines
  • Hands-on experience integrating and calibrating real cameras, LiDAR and/or radar in production environments
  • Experience with computer vision and point cloud libraries (OpenCV, PCL, Open3D or similar)
  • Experience training and deploying deep learning models for detection or segmentation on edge hardware (PyTorch, ONNX, TensorRT, NVIDIA Jetson or similar)
  • Experience with sensor fusion, state estimation and multi-object tracking (e.g. Kalman filters)
  • Experience working with Geospatial data a plus
  • Familiarity with functional safety standards for autonomous machinery (e.g. ISO 25119, ISO 18497, ISO 13849) a plus
  • Experience working with Docker-based software and build pipelines a plus

Preferred Qualifications

  • DESIRED EXPERIENCE
  • Experience working with Geospatial data a plus
  • Familiarity with functional safety standards for autonomous machinery (e.g. ISO 25119, ISO 18497, ISO 13849) a plus
  • Experience working with Docker-based software and build pipelines a plus

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