Real-Time Computer Vision Lead for Autonomous Drones

Lumyn LLC

Greater London

Hybrid

GBP 84,000 - 125,000

Full time

8 days ago

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Benefits offered by this job

Stock options

Job summary

Lumyn, in partnership with a defence technology company, seeks a hands-on Computer Vision Lead for autonomous drone platforms. You will define the roadmap, build the team, and also write and ship code that runs in real time on edge hardware during outdoor flights.

You will own the CV roadmap, develop object detection and tracking, SLAM, and ensure models run on embedded compute. The role offers hybrid work from London or Munich, with stock options.

Qualifications

  • Degree in CS, robotics or related field; PhD beneficial.

Responsibilities

  • Own the computer vision roadmap and tie milestones to product releases.
  • Build real-time detection and classification of objects seen from the air.
  • Track multiple objects across frames and cameras.
  • Develop visual SLAM and visual navigation for outdoor flight.
  • Get models running on embedded compute fast enough for flight.
  • Benchmark every change on real flight data and in simulation.
  • Hire computer vision engineers and grow them into a strong team.
  • Set the standard for code review and documentation.

Skills

Applied computer vision
Deep learning (PyTorch/TensorFlow)
Object detection (YOLO/Faster R-CNN)
Multi-object tracking
Visual SLAM
C++ and Python
Team leadership
OpenCV
CUDA
ROS (Robot Operating System)

Education

Bachelor's degree in CS/Robotics or related field
PhD (preferred)

Tools

ROS

Job description

Lumyn, in partnership with a defence technology company, seeks a hands-on Computer Vision Lead for autonomous drone platforms. You will define the roadmap, build the team, and also write and ship code that runs in real time on edge hardware during outdoor flights.

You will own the CV roadmap, develop object detection and tracking, SLAM, and ensure models run on embedded compute. The role offers hybrid work from London or Munich, with stock options.

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