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Software Engineer, Perception

Relling· Engineering
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San Francisco, CA$120k - $170kFull-timePosted 3mo ago

About the role

Robot Perception engineer responsible for real-time perception pipelines and 3D safety perception stack to enable robots to understand parts and workcells, from sensor integration to policy inputs on live production lines.

Responsibilities

  • Develop and maintain real-time perception pipelines, integrating and calibrating cameras, depth sensors, and LiDAR with our robot platforms
  • Build segmentation, tracking, and pose estimation that hold up under part-to-part variation, deformable materials, and unreliable depth on thin or reflective features
  • Design the structured observation spaces our learned controllers consume, along with the labeling pipelines that make training them cheap
  • Own the 3D safety perception stack: occupancy prediction from point clouds, speed modulation, and protective stops that let our robots operate without fencing
  • Work with the controls and policy teams to connect perception outputs to policy inputs at control frequency
  • Support bring-up and field testing of new camera and sensor configurations on live production lines
  • Contribute to fault detection and recovery logic so the system survives an eight-hour shift

Qualifications

  • 4+ years of experience in robotics perception, computer vision, or a closely related field
  • Strong software engineering fundamentals in Python and C++
  • Hands-on experience with sensor integration and calibration (cameras, depth sensors, LiDAR, hand-eye)
  • Experience building real-time perception pipelines that ran on real hardware
  • Fluency with both learned and classical CV, and the judgment to know which one a problem calls for
  • Experience with ROS/ROS2 or similar robotics middleware
  • Ability to debug across the full stack, from driver-level sensor issues to model behavior on live hardware

Skills

Required:PythonC++Sensor integration and calibrationROS/ROS2
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Relling

Data and infra for world models

Relling is working on the “ImageNet for world models”: large-scale, high-quality multimodal datasets that help AI and robotics teams train systems to see, move, and interact with the real world. We combine synchronized video, depth, LiDAR, motion, and audio, we give researchers the building blocks for truly general-purpose AI.

artificial-intelligenceroboticsinfrastructure
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