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Senior Perception Engineer

Posted 25 minutes ago
$70 - $80 per hour
10+ years experience
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AI Summary

The engineer will lead complex perception features from development through integration and validation. They will focus on perception algorithms, sensor fusion, and real-time autonomous vehicle applications while collaborating with cross-functional teams.

Project:
The engineer will lead complex perception features from development through integration and validation. The role will focus on perception algorithms, sensor fusion, environmental modeling, and real-time autonomous vehicle applications while working closely with autonomy, embedded software, systems, and test teams.
Required Skills:
  • 10+ years of experience in perception, computer vision, robotics, sensor fusion, or autonomous systems
  • Strong C++ and Python development experience
  • Hands-on experience with cameras, LiDAR, radar, GPS/GNSS, and IMU sensors
  • Strong experience with object detection, classification, segmentation, tracking, obstacle detection, and free-space detection
  • Experience with LiDAR point-cloud processing and 3D geometry
  • Strong understanding of sensor calibration, coordinate transformations, and data synchronization
  • Experience developing and integrating perception software for autonomous or robotic systems
  • Experience with ROS or ROS2
  • Strong Linux development experience
  • Experience optimizing real-time software for embedded CPUs and GPUs
  • Experience evaluating perception performance using recorded data, simulation, SIL/HIL testing, and vehicle testing
  • Ability to troubleshoot complex sensor, software, calibration, and system-integration issues
  • Experience leading technical workstreams and providing guidance to other engineers
Preferred Skills:
  • Experience with autonomous logistics vehicles, heavy equipment, industrial vehicles, or mobile robotics
  • Experience with OpenCV, PCL, PyTorch, TensorFlow, CUDA, or TensorRT
  • Experience with multi-sensor fusion and Kalman filtering
  • Experience with occupancy grids, semantic mapping, environmental modeling, or multi-object tracking
  • Experience with docking, alignment, pallet/container detection, or precision positioning
  • Experience validating autonomous systems in industrial or challenging outdoor environments
Education:
Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Mathematics, or a related technical field. Master’s degree preferred.
 
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