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Brumby

Autonomous drone system for cattle mustering

Perception Engineer

Computer VisionConfirmed live in the last 24 hours
Full-timeSydney NSW, AustraliaNo salary listed

About the Job

Requirements

  • Trained perception models and deployed them on Jetson using TensorRT and INT8 to meet a real latency budget.
  • Built DeepStream or GStreamer pipelines that run in production.
  • Strong sensor fusion skills across camera and GNSS/IMU, including pose estimation, geo-registration, and multi-frame tracking.
  • Run ROS 2 in production on real hardware, including Jazzy, DDS tuning, and MAVROS.
  • Worked with real field data, including messy footage and bad labels, and trained models such as YOLO in unusual domains with limited compute.
  • Experience with simulation and replay tools such as SITL, Gazebo, and rosbag to test and validate systems before flight.
  • A degree in computer science, robotics, mechatronics, or electrical engineering, or a research background in perception or autonomy.
  • Full Australian working rights required.

Responsibilities

  • Build perception systems for drones to find, count, and track cattle from the air.
  • Train models for challenging real-world conditions and use GNSS to georeference detections so animals are correctly located.
  • Develop drone capabilities for assessing land, including checking fence lines and water troughs and understanding pasture conditions.
  • Take models from real-world flight footage through to fast, reliable inference on Jetson edge hardware with limited compute.
  • Conduct field deployments to assess model performance and use collected data to improve models.
  • Work with the engineering team, including autonomy engineers, so drone perception informs flight behavior.
  • Develop onboard perception that detects, counts, and tracks cattle from the air, day and night.
  • Build real-time Jetson edge inference pipelines that operate without connectivity.
  • Fuse camera, thermal, and GNSS/IMU data to geolocate animals in the paddock.
  • Develop the interface between perception and autonomy, translating what the drone sees into how it flies.
  • Build simulation and replay tooling to test the full system before field deployment.
  • Work from the Sydney office five days a week and undertake regular field deployments to cattle stations, domestically and potentially internationally.
  • Work directly with and report to the founder.

Desired Qualifications

  • Experience fusing thermal or multispectral imagery with optical data.
  • Experience with structure from motion (SfM), photogrammetry, or biomass estimation.
  • Understanding of ArduPilot or PX4 behavior in AUTO and Guided modes, including failure modes and edge cases.
  • Experience with path planning and area coverage for survey, mustering, or exploring unknown terrain.
  • Experience working on drones or as part of a team building them.

About the Company

Brumby

Autonomous drone system for cattle mustering

Brumby provides an autonomous drone-based livestock management system for cattle mustering. Its fully autonomous drone platform, controlled by a mobile app, uses proprietary reinforcement learning to read real-time cattle behavior and guide the herd with low-stress stockmanship. This setup reduces the need for helicopters and manual labor, while also collecting data such as fence checks, pasture biomass, and herd weight to support farm management. Brumby aims to scale grazing operations worldwide, expanding from pilot farms in Australia to the United States after YC participation and a $1.2 million pre-seed round in early 2026.

Company size
1-10
Company stage
Seed
Total funding
$910K
Headquarters
Sydney NSW, Australia
Founded
2025

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